listen O
to O
westbam B-artist
alumb O
allergic B-album
on O
google B-service
music I-service

please O
add O
iris B-artist
dement I-artist
to O
my B-playlist_owner
playlist O
this B-playlist
is I-playlist
selena I-playlist

add O
slimm B-artist
cutta I-artist
calhoun I-artist
to O
my B-playlist_owner
this B-playlist
is I-playlist
prince I-playlist
playlist O

play O
a O
popular B-sort
chant B-music_item
by O
brian B-artist
epstein I-artist

can O
you O
play O
me O
some O
eighties B-year
music O
by O
adele B-artist

play O
the O
top-20 B-sort
best I-sort
chicane B-artist
songs O
on O
deezer B-service

play O
a O
chant B-music_item
by O
mj B-artist
cole I-artist

play O
all B-track
of I-track
your I-track
toys I-track
by O
chris B-artist
ledoux I-artist

i O
want O
to O
hear O
a O
joel B-artist
hastings I-artist
melody B-music_item

play O
theme B-music_item
by O
yanni B-artist
on O
vimeo B-service

can O
you O
pull O
up O
a O
track B-music_item
on O
zvooq B-service
by O
graham B-artist
mcpherson I-artist

put O
playa B-artist
fly I-artist
onto O
my B-playlist_owner
2010 B-playlist
decade I-playlist
playlist O

add O
bret B-artist
mckenzie I-artist
to O
my B-playlist_owner
pop B-playlist
commute I-playlist
playlist O

i O
d O
like O
johnny B-artist
nash I-artist
to O
be O
put O
into O
my B-playlist_owner
playlist O
always B-playlist
pop I-playlist
punk I-playlist

play O
caitlin B-artist
cary I-artist
from O
the O
fourties B-year

play O
rap B-album
album I-album
one I-album
by O
gene B-artist
vincent I-artist

add O
rosemary B-artist
clooney I-artist
to O
pura B-playlist
vida I-playlist
playlist O

play O
a O
scott B-artist
lafaro I-artist
soundtrack B-music_item

play O
lorenzo B-artist
palacios I-artist
quispe I-artist

include O
laarni B-artist
lozada I-artist
on O
endorphin B-playlist
rush I-playlist
playlist O

play O
takes B-album
place I-album
in I-album
your I-album
work I-album
space I-album
by O
eddie B-artist
kendricks I-artist

can O
you O
play O
something O
from O
1966 B-year
by O
mc B-artist
ren I-artist
on O
spotify B-service

play O
music O
from O
2005 B-year
by O
justin B-artist
broadrick I-artist

i O
want O
to O
add O
a O
song B-music_item
by O
w B-artist
c I-artist
clark I-artist
to O
my B-playlist_owner
nerding B-playlist
around I-playlist
playlist O

play O
me O
a O
song B-music_item
by O
michael B-artist
diamond I-artist

play O
the O
top B-sort
song B-music_item
from O
damon B-artist
albarn I-artist
using O
slacker B-service

add O
dr B-artist
know I-artist
to O
my B-playlist_owner
todo B-playlist
alternativo I-playlist
playlist O

add O
matthew B-artist
helders I-artist
artist B-music_item
in O
showstopper B-playlist
being I-playlist
mary I-playlist
jane I-playlist

play O
the B-track
happiest I-track
days I-track
of I-track
our I-track
lives I-track
by O
tommy B-artist
emmanuel I-artist

play O
the B-track
fool I-track
on I-track
the I-track
hill I-track
by O
khwaja B-artist
ghulam I-artist
farid I-artist

play O
a O
twenties B-year
tune B-music_item
by O
jodie B-artist
aysha I-artist

add O
a O
kj B-artist
52 I-artist
track B-music_item
to O
the O
te B-playlist
quiero I-playlist
playlist O

add O
the O
lady B-artist
bunny I-artist
album B-music_item
to O
décadas B-playlist

play O
some O
oleg B-artist
anofriyev I-artist
from O
1960 B-year

play O
a O
sound B-music_item
track I-music_item
by O
tom B-artist
thacker I-artist

play O
the O
concert O
from O
philip B-artist
oakey I-artist
1973 B-year
concert O
on O
netflix B-service

play O
music O
from O
the O
top-5 B-sort
from O
artist O
kenia B-artist
arias I-artist

use O
netflix B-service
to O
play O
michael B-artist
white I-artist
tune B-music_item
from O
1955 B-year

give O
me O
some O
hank B-artist
shermann I-artist
from O
1975 B-year
on O
lastfm B-service

add O
lisa B-artist
dalbello I-artist
to O
my B-playlist_owner
2015 B-playlist
cma I-playlist
awards I-playlist
nominees I-playlist
list O

play O
portsmouth B-track
by O
paul B-artist
smith I-artist
on O
google B-service
music I-service

play O
hughie B-track
graham I-track
by O
vidyadhar B-artist
vyas I-artist

add O
nour B-artist
mhanna I-artist
to O
workday B-playlist
lounge I-playlist

add O
the B-playlist
piano I-playlist
bar I-playlist
to O
my B-playlist_owner
cindy B-artist
wilson I-artist

play O
a O
seventies B-year
ballad B-music_item
by O
annunzio B-artist
paolo I-artist
mantovani I-artist
on O
groove B-service
shark I-service

can O
you O
use O
pandora B-service
to O
play O
a O
soundtrack B-music_item
from O
1999 B-year
by O
david B-artist
sitek I-artist

play O
new B-sort
ian B-artist
mclagan I-artist

open O
zvooq B-service
and O
play O
the O
best B-sort
songs O
from O
device B-artist

play O
something O
by O
brian B-artist
chase I-artist

play O
the O
ocelot B-artist
record B-music_item
using O
zvooq B-service

add O
a O
tom B-artist
thacker I-artist
tune B-music_item
to O
my B-playlist_owner
rock B-playlist
classics I-playlist

i O
want O
to O
hear O
secrets B-album
on I-album
parade I-album
from O
tommy B-artist
walter I-artist

add O
this O
tune B-music_item
by O
harry B-artist
connick I-artist
jr I-artist
to O
my B-playlist_owner
jazz B-playlist
brasileiro I-playlist
playlist O

play O
russell B-artist
morris I-artist
s O
the B-album
singer I-album
and I-album
the I-album
song I-album
on O
netflix B-service

play O
a O
track B-music_item
by O
deeyah B-artist
khan I-artist

add O
the O
avispa B-artist
track B-music_item
to O
my B-playlist_owner
bass B-playlist
gaming I-playlist
playlist O

play O
a O
top B-sort
symphony B-music_item
sort O
form O
1959 B-year
by O
stuart B-artist
garrard I-artist

i O
wish O
to O
listen O
to O
good B-sort
symphony B-music_item
music O
by O
mi B-artist
lu I-artist
bing I-artist

add O
angela B-artist
au I-artist
to O
the O
playlist O
radar B-playlist
latino I-playlist

i O
want O
lance B-artist
king I-artist
in O
my B-playlist_owner
list O
called O
one B-playlist
love I-playlist

add O
chris B-artist
de I-artist
burgh I-artist
in O
my B-playlist_owner
playlist O
melancholia B-playlist

add O
troy B-artist
andrews I-artist
to O
my B-playlist_owner
pop B-playlist
punk I-playlist
powerhouses I-playlist

play O
alles B-track
heeft I-track
ritme I-track
by O
liu B-artist
tianhua I-artist

play O
dave B-artist
mason I-artist
s O
soundtrack B-music_item
on O
last B-service
fm I-service

add O
sam B-artist
moran I-artist
music O
to O
my B-playlist_owner
tgif B-playlist
playlist O

can O
i O
hear O
a O
da B-artist
brat I-artist
ep B-music_item

move O
this O
tune B-music_item
by O
hironobu B-artist
kageyama I-artist
to O
my B-playlist_owner
baila B-playlist
reggaeton I-playlist
playlist O

add O
billy B-artist
strayhorn I-artist
to O
my B-playlist_owner
highway B-playlist
61 I-playlist
playlist O

let O
me O
listen O
to O
the B-album
music I-album
of I-album
nature I-album
album B-music_item
by O
paul B-artist
draper I-artist

play O
the O
soundtrack B-music_item
that O
tom B-artist
bellamy I-artist
contributed O
to O

play O
in B-track
your I-track
eyes I-track
by O
gareth B-artist
gates I-artist
on O
netflix B-service

play O
fill B-album
yourself I-album
with I-album
music I-album
by O
ray B-artist
manzarek I-artist

add O
mg B-artist
the I-artist
visionary I-artist
to O
my B-playlist_owner
dubstep B-playlist
playlist O

add O
connee B-artist
boswell I-artist
to O
the O
relaxing B-playlist
playlist O

play O
music O
from O
carina B-artist
round I-artist

i O
would O
like O
ignacio B-artist
figueredo I-artist
s O
tune B-music_item
added O
to O
electronow B-playlist

add O
jason B-artist
webley I-artist
to O
classical B-playlist
intimate I-playlist
dinner I-playlist
playlist O

use O
the O
service O
lastfm B-service
to O
play O
music O
by O
the O
artist O
ai B-artist
kago I-artist

add O
the O
track B-music_item
bg B-artist
knocc I-artist
out I-artist
to O
the O
rapcaviar B-playlist
playlist O

can O
you O
play O
a O
song B-music_item
by O
ken B-artist

add O
steve B-artist
winwood I-artist
to O
my B-playlist_owner
playlist O
old B-playlist
school I-playlist
metal I-playlist

play O
me O
the O
most B-sort
popular I-sort
peja B-artist
song B-music_item
on O
slacker B-service

play O
a O
1999 B-year
track B-music_item
by O
pete B-artist
seeger I-artist
on O
youtube B-service

play O
theme B-music_item
music O
from O
the O
twenties B-year
by O
tata B-artist
young I-artist

add O
nana B-artist
tanimura I-artist
to O
a B-playlist
sudden I-playlist
rainstorm I-playlist

add O
cj B-artist
snare I-artist
to O
my B-playlist_owner
indie B-playlist
mim I-playlist
playlist O

play O
jeff B-artist
pilson I-artist
on O
youtube B-service

play O
a O
chant B-music_item
by O
marina B-artist
verenikina I-artist

play O
a O
karin B-artist
dreijer I-artist
andersson I-artist
soundtrack B-music_item
on O
groove B-service
shark I-service

add O
buddy B-artist
tate I-artist
to O
just B-playlist
dance I-playlist
by I-playlist
aftercluv I-playlist
list O

i O
want O
the O
turbonegro B-artist
album B-music_item
to O
go O
on O
the O
playlist O
called O
genuine B-playlist
r&b I-playlist

i O
want O
to O
hear O
a O
top-50 B-sort
track B-music_item
from O
takahito B-artist
eguchi I-artist
on O
google B-service
music I-service

play O
phil B-artist
spalding I-artist
soundtrack B-music_item
from O
the O
seventies B-year

play O
movement B-music_item
by O
duane B-artist
allman I-artist

add O
htoo B-artist
ein I-artist
thin I-artist
to O
my B-playlist_owner
brooklyn B-playlist
beat I-playlist
playlist O

add O
the O
artist B-music_item
todd B-artist
snider I-artist
to O
my B-playlist_owner
electro B-playlist
latino I-playlist
playlist O

play O
the O
album B-music_item
qr B-album
iii I-album
by O
bobby B-artist
bare I-artist

open O
groove B-service
shark I-service
and O
play O
sound B-music_item
track I-music_item
from O
dj B-artist
cameo I-artist

put O
hampartsoum B-artist
limondjian I-artist
in O
running B-playlist
to I-playlist
rock I-playlist
170 I-playlist
to I-playlist
190 I-playlist
bpm I-playlist

add O
the O
nastya B-artist
kamenskih I-artist
song B-music_item
to O
my B-playlist_owner
the B-playlist
martin I-playlist
garrix I-playlist
show I-playlist
playlist O

play O
inventions B-album
for I-album
the I-album
new I-album
season I-album

i O
want O
to O
listen O
to O
the O
album B-music_item
going B-album
back I-album
to I-album
the I-album
blue I-album
ridge I-album
mountains I-album
on O
iheart B-service

i O
want O
to O
listen O
to O
speed B-album
metal I-album
symphony I-album

play O
isaac B-artist
yamma I-artist
slut B-album

play O
the O
album B-music_item
wayning B-album
moments I-album
by O
rabbit B-artist
brown I-artist

play O
music O
from O
the O
album B-music_item
evolution B-album
of I-album
a I-album
man I-album
by O
joey B-artist
ramone I-artist

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les B-album
pauvres I-album
riches I-album
by O
pan B-artist
mei I-artist
chen I-artist

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that B-album
stubborn I-album
kinda I-album
fellow I-album
by O
michael B-artist
amott I-artist

play O
kim B-album
wilde I-album
by O
mike B-artist
scott I-artist
on O
slacker B-service

play O
tuomas B-artist
holopainen I-artist
s O
the B-album
21 I-album
project I-album

play O
some O
annie B-artist
herring I-artist
beat B-album
street I-album
on O
itunes B-service

play O
step B-album
up I-album
your I-album
game I-album
by O
marc B-artist
cohn I-artist

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the B-album
eternal I-album
by O
juju B-artist
mob I-artist
on O
vimeo B-service

play O
yuauea B-album
by O
rick B-artist
ross I-artist

play O
me O
a O
song B-music_item
from O
luxury B-album
liner I-album

play O
neutrons B-album
by O
seun B-artist
kuti I-artist

open O
youtube B-service
and O
play O
iron B-album
mountain I-album
depot I-album
from O
john B-artist
lomax I-artist

play O
a O
song B-music_item
by O
electric B-artist
tones I-artist
from O
their O
kurutta B-album
taiyō I-album
album B-music_item
on O
last B-service
fm I-service

play O
going B-album
down I-album
to I-album
the I-album
river I-album
on O
pandora B-service

play O
the O
album B-music_item
sauna B-album
on O
zvooq B-service

play O
morning B-album
song I-album

use O
groove B-service
shark I-service
to O
play O
the O
today B-album
and I-album
tomorrow I-album
album B-music_item

play O
change B-album
has I-album
come I-album
on O
google B-service
music I-service

play O
the B-album
way I-album
it I-album
has I-album
to I-album
be I-album
by O
tom B-artist
g I-artist
warrior I-artist
on O
zvooq B-service

play O
burhøns B-album
by O
ernie B-artist
c I-artist

play O
seaside B-album
by O
don B-artist
cherry I-artist

play O
me B-album
against I-album
the I-album
world I-album
from O
glukoza B-artist

play O
joshua B-artist
homme I-artist
belle B-album
and I-album
sebastian I-album
write I-album
about I-album
love I-album

play O
hættuleg B-album
hljómsveit I-album
& I-album
glæpakvendið I-album
stella I-album
by O
kaori B-artist
iida I-artist

play O
halid B-album
08 I-album
by O
video B-artist
game I-artist
pianist I-artist
on O
pandora B-service

play O
clifford B-album
brown I-album
all I-album
stars I-album
by O
michael B-artist
balzary I-artist

play O
while B-album
we I-album
were I-album
waiting I-album
by O
sippie B-artist
wallace I-artist
on O
vimeo B-service

play O
me O
a O
felix B-artist
kubin I-artist
from O
no B-album
light I-album
on O
spotify B-service

i O
want O
to O
hear O
ready B-album
by O
frankenstein B-artist
drag I-artist
queens I-artist
from I-artist
planet I-artist
13 I-artist

play O
the O
mother B-album
lode I-album
by O
tamio B-artist
okuda I-artist

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saturday B-album
nights I-album
& I-album
sunday I-album
mornings I-album

play O
the O
album B-music_item
jack B-album
takes I-album
the I-album
floor I-album
by O
tom B-artist
lehrer I-artist
on O
netflix B-service

i O
want O
to O
hear O
gloryhole B-album
from O
mani B-artist
off O
of O
lastfm B-service

play O
the O
album B-music_item
alas B-album
y I-album
raíces I-album
by O
dave B-artist
pybus I-artist

play O
dj B-artist
shadow I-artist
s O
a B-album
love I-album
hate I-album
masquerade I-album

play O
the O
album B-music_item
pressure B-album
cracks I-album
with O
netflix B-service

play O
itunes B-service
album B-music_item
mondovisione B-album

play O
paul B-artist
landers I-artist
o B-album
rio I-album
a I-album
cidade I-album
a I-album
árvore I-album
on O
slacker B-service

play O
brotherhood B-album
by O
ock B-artist
joo-hyun I-artist

play O
breed B-album
the I-album
killers I-album
on O
itunes B-service

play O
2gether B-album
by O
jade B-artist
puget I-artist

play O
play O
lodge B-album
by O
alkabli B-artist
on O
lastfm B-service

open O
lastfm B-service
and O
play O
a B-album
voluntad I-album
del I-album
cielo I-album
from O
wax B-artist

play O
a O
song B-music_item
off O
ian B-artist
stuart I-artist
donaldson I-artist
s O
nature B-album
nurture I-album
album B-music_item
on O
itunes B-service

play O
the B-artist
edge I-artist
by O
deezer B-service
on O
vans B-album
warped I-album
tour I-album
compilation I-album
2003 I-album

play O
me O
a O
song B-music_item
from O
voices B-album
& I-album
images I-album

please O
play O
short B-album
and I-album
sweet I-album
by O
teyana B-artist
taylor I-artist
from O
my O
itunes B-service

play O
music O
from O
jeremy B-artist
taylor I-artist
on O
the O
album B-music_item
dormi B-album
amore I-album
la I-album
situazione I-album
non I-album
è I-album
buona I-album
on O
groove B-service
shark I-service

play O
the O
album B-music_item
everybody B-album
happy I-album
by O
lee B-artist
aaron I-artist

i O
want O
to O
hear O
something O
off O
fist B-album
for I-album
fight I-album
by O
rushton B-artist
moreve I-artist
on O
youtube B-service

play O
the O
album B-music_item
shooting B-album
silvio I-album
by O
dave B-artist
sabo I-artist

play O
junun B-album
by O
noam B-artist
kaniel I-artist

play O
foundling B-album
by O
jean B-artist
grae I-artist
on O
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to O
my B-playlist_owner
playlist O
entitled O
duetos B-playlist

add O
hold B-entity_name
my I-entity_name
liquor I-entity_name
to O
electronow B-playlist

can O
you O
add O
some O
disco B-entity_name
to O
my B-playlist_owner
playlist O
called O
genuine B-playlist
r&b I-playlist

add O
split B-entity_name
the I-entity_name
difference I-entity_name
to O
my B-playlist_owner
women B-playlist
s I-playlist
lit I-playlist
playlist O

add O
blood B-entity_name
guts I-entity_name
& I-entity_name
glory I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
chopin I-playlist

add O
deuce B-entity_name
to O
my B-playlist_owner
listas B-playlist
de I-playlist
éxitos I-playlist
playlist O

put O
molly B-entity_name
and I-entity_name
tenbrooks I-entity_name
in O
the O
french B-playlist
n I-playlist
heavy I-playlist
playlist O

add O
warpaint B-entity_name
in O
my B-playlist_owner
pre-party B-playlist
list O

add O
a-hunting B-entity_name
we I-entity_name
will I-entity_name
go I-entity_name
to O
the O
emily B-playlist
dickinson I-playlist
playlist O

add O
the B-entity_name
wee I-entity_name
wee I-entity_name
man I-entity_name
to O
pamela B-playlist_owner
s I-playlist_owner
stress B-playlist
relief I-playlist
playlist O

add O
dahmer B-entity_name
to O
hiphop B-playlist
hot I-playlist
50 I-playlist

add O
munia B-entity_name
the I-entity_name
tale I-entity_name
to O
my B-playlist_owner
playlist O
called O
adrenaline B-playlist
workout I-playlist

please O
add O
checkmate B-entity_name
to O
my B-playlist_owner
irish B-playlist
folk I-playlist
– I-playlist
jigs I-playlist
& I-playlist
reels I-playlist
playlist O

add O
run B-entity_name
rudolph I-entity_name
run I-entity_name
to O
my B-playlist_owner
rockin B-playlist
playlist O

for O
the O
playlist O
this B-playlist
is I-playlist
mozart I-playlist
add O
nana B-entity_name
mizuki I-entity_name
live I-entity_name
fighter I-entity_name
-blue I-entity_name
x I-entity_name
red I-entity_name
side- I-entity_name

add O
teriazume B-entity_name
to O
the O
nação B-playlist
reggae I-playlist
playlist O

add O
teddy B-entity_name
boy I-entity_name
to O
my B-playlist_owner
irish B-playlist
folk I-playlist
– I-playlist
jigs I-playlist
& I-playlist
reels I-playlist
playlist O

add O
already B-entity_name
over I-entity_name
pt I-entity_name
2 I-entity_name
to O
hip B-playlist
hop I-playlist
2017 I-playlist
new I-playlist
school I-playlist

add O
party B-playlist
with I-playlist
friends I-playlist
by O
constructs B-entity_name
of I-entity_name
the I-entity_name
state I-entity_name
to O
juliana B-playlist_owner
s I-playlist_owner
playlist O

add O
hot B-playlist
house I-playlist
to O
have B-entity_name
you I-entity_name
met I-entity_name
miss I-entity_name
jones I-entity_name

add O
2120 B-entity_name
south I-entity_name
michigan I-entity_name
avenue I-entity_name
to O
my B-playlist_owner
laundry B-playlist
playlist O

can O
you O
add O
honey B-entity_name
hush I-entity_name
to O
hits B-playlist
of I-playlist
the I-playlist
60s I-playlist

add O
inconfundible B-entity_name
to O
the O
piano B-playlist
in I-playlist
the I-playlist
background I-playlist
playlist O

add O
hold B-entity_name
tight I-entity_name
to O
my B-playlist_owner
throwback B-playlist
party I-playlist

add O
nazad B-entity_name
nazad I-entity_name
kalino I-entity_name
mome I-entity_name
to O
escapada B-playlist

add O
rock B-entity_name
& I-entity_name
roll I-entity_name
to O
my B-playlist_owner
playlist O
named O
night B-playlist
out I-playlist

add O
vyechnyy B-entity_name
strannik I-entity_name
to O
lo B-playlist
que I-playlist
suena I-playlist
new I-playlist
york I-playlist

add O
chamberlain B-entity_name
waits I-entity_name
to O
my B-playlist_owner
picnic B-playlist
in I-playlist
the I-playlist
park I-playlist

the O
this B-playlist
is I-playlist
kevin I-playlist
johansen I-playlist
playlist O
needs O
the B-entity_name
lamb I-entity_name
lies I-entity_name
down I-entity_name
on I-entity_name
broadway I-entity_name
in O
it O

add O
dying B-entity_name
mapa I-entity_name
i I-entity_name
to O
más B-playlist
que I-playlist
amigos I-playlist

add O
the B-entity_name
open I-entity_name
door I-entity_name
to O
autumn B-playlist
music I-playlist

add O
paloma B-entity_name
negra I-entity_name
to O
my B-playlist_owner
funky B-playlist
jams I-playlist
list O

play O
used B-entity_name
to I-entity_name
love I-entity_name
her I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
animal I-playlist
collective I-playlist
playlist O

add O
fair B-entity_name
charlotte I-entity_name
to O
the O
we B-playlist
everywhere I-playlist
playlist O

edit O
top B-playlist
100 I-playlist
indie I-playlist
tracks I-playlist
on I-playlist
spotify I-playlist
playlist O
by O
adding O
smokefree B-entity_name
rockquest I-entity_name
2005 I-entity_name

want O
to O
add O
pacific B-entity_name
ocean I-entity_name
blues I-entity_name
to O
the O
playlist O
named O
lunch B-playlist

add O
family B-entity_name
tree I-entity_name
to O
conexiones B-playlist

please O
put O
live B-entity_name
with I-entity_name
me I-entity_name
onto O
my B-playlist_owner
playlist O
named O
carácter B-playlist
latino I-playlist

add O
the O
name O
covenant B-entity_name
to O
the O
playlist O
fusion B-playlist
fest I-playlist

add O
ik B-entity_name
tara I-entity_name
to O
laundry B-playlist
playlst O

put O
do B-entity_name
you I-entity_name
love I-entity_name
me I-entity_name
on O
my B-playlist_owner
acoustic B-playlist
soul I-playlist
playlist O

add O
welcome B-entity_name
to I-entity_name
the I-entity_name
cruel I-entity_name
world I-entity_name
to O
my B-playlist_owner
reggae B-playlist
classics I-playlist

add O
name O
me B-entity_name
& I-entity_name
the I-entity_name
rhythm I-entity_name
to O
my B-playlist_owner
chill B-playlist
out I-playlist
music I-playlist

add O
heart B-entity_name
like I-entity_name
a I-entity_name
hurricane I-entity_name
to O
digster B-playlist
soul I-playlist
classics I-playlist

add O
hallucinations B-entity_name
of I-entity_name
despair I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
trey I-playlist
songz I-playlist
playlist O

add O
halley B-entity_name
to O
this B-playlist
is I-playlist
tchaikovsky I-playlist

add O
i B-entity_name
pledge I-entity_name
allegiance I-entity_name
to I-entity_name
the I-entity_name
grind I-entity_name
to O
my B-playlist_owner
sinfonía B-playlist
hipster I-playlist
playlist O

add O
falling B-entity_name
stars I-entity_name
to O
my B-playlist_owner
intense B-playlist
studying I-playlist

put O
framed B-entity_name
onto O
my B-playlist_owner
ntc B-playlist
studio I-playlist
sounds I-playlist
playlist O

put O
before B-entity_name
the I-entity_name
eulogy I-entity_name
onto O
acoustic B-playlist
blues I-playlist

add O
as B-entity_name
i I-entity_name
was I-entity_name
going I-entity_name
to I-entity_name
st I-entity_name
ives I-entity_name
to O
the O
fantasía B-playlist
playlist O

move O
el B-entity_name
viaje I-entity_name
de I-entity_name
copperpot I-entity_name
into O
my B-playlist_owner
emily B-playlist
dickinson I-playlist
playlist O

add O
iene B-entity_name
miene I-entity_name
mutte I-entity_name
to O
women B-playlist
of I-playlist
r&b I-playlist
playlist O

add O
the B-entity_name
rebirth I-entity_name
of I-entity_name
kirk I-entity_name
franklin I-entity_name
to O
the O
fiesta B-playlist
playlist O

add O
godmusic B-entity_name
to O
my B-playlist_owner
latin B-playlist
dance I-playlist
cardio I-playlist
playlist O

add O
please B-entity_name
please I-entity_name
please I-entity_name
let I-entity_name
me I-entity_name
get I-entity_name
what I-entity_name
i I-entity_name
want I-entity_name
to O
my B-playlist_owner
crate B-playlist
diggers I-playlist
anonymous I-playlist

for O
the O
playlist O
running B-playlist
power I-playlist
add O
the O
name O
the B-entity_name
best I-entity_name
is I-entity_name
yet I-entity_name
to I-entity_name
come I-entity_name

add O
share B-entity_name
the I-entity_name
well I-entity_name
to O
my B-playlist_owner
epic B-playlist
wall I-playlist
of I-playlist
sound I-playlist

put O
ares B-entity_name
in O
my B-playlist_owner
canadian B-playlist
country I-playlist
playlist O

add O
us B-entity_name
placers I-entity_name
to O
my B-playlist_owner
new B-playlist
boots I-playlist

put O
more O
unbelievable B-entity_name
in O
my B-playlist_owner
grandes B-playlist
unplugged I-playlist
playlist O

add O
shame B-entity_name
on I-entity_name
you I-entity_name
to O
my B-playlist_owner
masters B-playlist
of I-playlist
metal I-playlist
playlist O

to O
johnnie B-playlist_owner
s I-playlist_owner
funtime B-playlist
activity I-playlist
playlist O
add O
the O
name O
the B-entity_name
best I-entity_name
of I-entity_name
guitar I-entity_name
shorty I-entity_name

place O
raise B-entity_name
your I-entity_name
fist I-entity_name
onto O
year B-playlist
in I-playlist
metal I-playlist
2016 I-playlist

put O
say B-entity_name
it I-entity_name
ain’t I-entity_name
so I-entity_name
into O
my B-playlist_owner
trap B-playlist
land I-playlist
playlist O

add O
bien B-entity_name
acompañado I-entity_name
to O
all B-playlist
out I-playlist
60s I-playlist

include O
kunnon B-entity_name
syy I-entity_name
in O
my B-playlist_owner
trap B-playlist
land I-playlist
playlist O

add O
crying B-entity_name
waiting I-entity_name
hoping I-entity_name
to O
my B-playlist_owner
weekly B-playlist
buzz I-playlist
playlist O

add O
od B-entity_name
mene I-entity_name
se I-entity_name
odvikavaj I-entity_name
to O
my B-playlist_owner
laundry B-playlist

add O
maschi B-entity_name
e I-entity_name
altri I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
john I-playlist
williams I-playlist

add O
perfect B-entity_name
sense I-entity_name
part I-entity_name
i I-entity_name
to O
my B-playlist_owner
women B-playlist
of I-playlist
classical I-playlist
list O

add O
hatfield B-entity_name
and I-entity_name
the I-entity_name
north I-entity_name
to O
my B-playlist_owner
hot B-playlist
house I-playlist
playlist O

add O
iemand B-entity_name
als I-entity_name
jij I-entity_name
to O
my B-playlist_owner
playlist O
named O
in B-playlist
the I-playlist
name I-playlist
of I-playlist
blues I-playlist

add O
zombieland B-entity_name
to O
noctámbulo B-playlist
playlist O

add O
don B-entity_name
and I-entity_name
sherri I-entity_name
to O
the O
electrosafari B-playlist
playlist O

add O
darkest B-entity_name
angels I-entity_name
to O
my B-playlist_owner
sos B-playlist
48 I-playlist
2016 I-playlist

put O
horace B-entity_name
silver I-entity_name
and I-entity_name
the I-entity_name
jazz I-entity_name
messengers I-entity_name
on O
my B-playlist_owner
running B-playlist
to I-playlist
rock I-playlist
170 I-playlist
to I-playlist
190 I-playlist
bpm I-playlist
playlist O

add O
de B-entity_name
principii I-entity_name
evangelikum I-entity_name
to O
my B-playlist_owner
domingo B-playlist
indie I-playlist
palylist O

add O
another O
artist B-music_item
to O
the O
spotlight B-playlist
on I-playlist
country I-playlist
2016 I-playlist
playlist O

add O
this O
track B-music_item
to O
my B-playlist_owner
global B-playlist
funk I-playlist

play O
playlist O
the B-playlist
realest I-playlist
down I-playlist
south I-playlist

add O
this O
artist B-music_item
to O
gretchen B-playlist_owner
s I-playlist_owner
soul B-playlist
revived I-playlist
playlist O

put O
this O
song B-music_item
on O
my B-playlist_owner
playlist O
in B-playlist
the I-playlist
name I-playlist
of I-playlist
blues I-playlist

add O
the O
entire O
album B-music_item
into O
indie B-playlist
español I-playlist

add O
this O
album B-music_item
to O
the O
playlist O
called O
dishwashing B-playlist

add O
this O
song B-music_item
to O
my B-playlist_owner
playlist O
named O
wild B-playlist
country I-playlist

add O
artist B-music_item
to O
lo B-playlist
mejor I-playlist
de I-playlist
los I-playlist
00 I-playlist
s I-playlist

put O
this O
album B-music_item
in O
shuffle B-playlist
syndrome I-playlist

add O
a O
track B-music_item
to O
my B-playlist_owner
hands B-playlist
up I-playlist
playlist O

add O
tune B-music_item
to O
my B-playlist_owner
hype B-playlist
playlist O

add O
this O
track B-music_item
to O
duetos B-playlist

add O
the O
song B-music_item
to O
the O
dub B-playlist
on I-playlist
the I-playlist
beach I-playlist
playlist O

add O
this O
track B-music_item
to O
the O
classical B-playlist
music I-playlist
for I-playlist
smart I-playlist
kids I-playlist
playlist O

add O
my B-playlist_owner
track B-music_item
to O
old B-playlist
school I-playlist
metal I-playlist
playlist O

put O
this O
track B-music_item
on O
alok B-playlist
house I-playlist
party I-playlist
playlist O

add O
songs O
tune B-music_item
in O
reggae B-playlist
infusions I-playlist

add O
this O
track B-music_item
to O
new B-playlist
hip I-playlist
hop I-playlist

add O
a O
track B-music_item
to O
my B-playlist_owner
classical B-playlist
feast I-playlist
playlist O

add O
a O
tune B-music_item
to O
my B-playlist_owner
this B-playlist
is I-playlist
marc I-playlist
anthony I-playlist
playlist O

can O
you O
put O
this O
track B-music_item
onto O
the O
playlist O
the B-playlist
selektor I-playlist

add O
tune B-music_item
to O
my B-playlist_owner
this B-playlist
is I-playlist
animal I-playlist
collective I-playlist

add O
this O
song B-music_item
to O
my B-playlist_owner
crossroad B-playlist
blues I-playlist
playlist O

add O
an O
artist B-music_item
to O
the O
décadas B-playlist
playlist O

add O
this O
song B-music_item
to O
my B-playlist_owner
list O
called O
the B-playlist
birth I-playlist
of I-playlist
cool I-playlist

put O
this O
song B-music_item
in O
my B-playlist_owner
funk B-playlist
playlist O
please O

add O
tune B-music_item
to O
electro B-playlist
workout I-playlist

add O
tune B-music_item
to O
cleaning B-playlist
the I-playlist
house I-playlist

please O
add O
this O
song B-music_item
to O
madden B-playlist
nfl I-playlist
16 I-playlist

add O
this O
artist B-music_item
to O
my B-playlist_owner
jazz B-playlist
playlist O

add O
a O
tune B-music_item
to O
rare B-playlist
groove I-playlist

play O
my O
melodious B-playlist
playlist O

add O
this O
tune B-music_item
to O
the O
heavy B-playlist
gamer I-playlist
playlist O

add O
this O
track B-music_item
to O
my B-playlist_owner
party B-playlist
playlist O

add O
album B-music_item
to O
my B-playlist_owner
classical B-playlist
essentials I-playlist
playlist O

i O
want O
to O
put O
a O
copy O
of O
this O
tune B-music_item
into O
skatepark B-playlist
punks I-playlist

add O
track B-music_item
nature B-playlist
noise I-playlist
to O
my B-playlist_owner
playlist O

add O
an O
album B-music_item
to O
my B-playlist_owner
playlist O
bachata B-playlist
lovers I-playlist

add O
this O
song B-music_item
to O
brooklyn B-playlist
beat I-playlist

play O
music O
from O
the O
list O
indie B-playlist
electronics I-playlist

add O
this O
album B-music_item
to O
my B-playlist_owner
forever B-playlist
country I-playlist
playlist O

add O
track B-music_item
to O
hit B-playlist
remix I-playlist

add O
song B-music_item
to O
my B-playlist_owner
el B-playlist
mejor I-playlist
pop I-playlist
en I-playlist
español I-playlist

add O
this O
song B-music_item
to O
my B-playlist_owner
love B-playlist
hurts I-playlist
playlist O

add O
this O
tune B-music_item
to O
my B-playlist_owner
wine B-playlist
& I-playlist
dine I-playlist
playlist O

add O
the O
tune B-music_item
to O
my B-playlist_owner
chill B-playlist
hits I-playlist
playlist O

add O
song B-music_item
in O
playlist O
metal B-playlist
monday I-playlist

add O
autry B-artist
inman I-artist
to O
my B-playlist_owner
hanging B-playlist
out I-playlist
and I-playlist
relaxing I-playlist
playlist O

add O
the O
track B-music_item
to O
the O
comedy B-playlist
new I-playlist
releases I-playlist
playlist O

add O
a O
track B-music_item
to O
my B-playlist_owner
alok B-playlist
house I-playlist
party I-playlist
playlist O

i O
want O
cocco B-artist
added O
to O
my B-playlist_owner
post B-playlist
metal I-playlist
playlist O

add O
elkie B-artist
brooks I-artist
to O
happy B-playlist
birthday I-playlist
playlist O

add O
this O
song B-music_item
to O
my B-playlist_owner
classical B-playlist
dance I-playlist
music I-playlist
ballet I-playlist
& I-playlist
beyond I-playlist
list O

add O
sarah B-artist
vaughan I-artist
to O
the O
spa B-playlist
treatment I-playlist
playlist O

add O
javine B-artist
hylton I-artist
to O
my B-playlist_owner
evening B-playlist
playlist O

love B-playlist
in I-playlist
paris I-playlist
needs O
some O
frank B-artist
farian I-artist
in O
the O
playlist O

add O
album B-music_item
to O
bajo B-playlist
las I-playlist
estrellas I-playlist

add O
bonga B-artist
to O
the O
black B-playlist
sabbath I-playlist
the I-playlist
dio I-playlist
years I-playlist
playlist O

add O
sam B-artist
sparro I-artist
to O
my B-playlist_owner
playlist O
called O
beach B-playlist
vibes I-playlist

add O
yoshiki B-artist
to O
the O
35 B-playlist
soul I-playlist
classics I-playlist
1970 I-playlist
to I-playlist
1975 I-playlist
playlist O

add O
vl B-artist
mike I-artist
to O
my B-playlist_owner
dcode2016 B-playlist
playlist O

put O
michael B-artist
cretu I-artist
onto O
my B-playlist_owner
beach B-playlist
vibes I-playlist
playlist O

add O
this O
artist B-music_item
to O
metal B-playlist
party I-playlist

add O
some O
martine B-artist
mccutcheon I-artist
to O
my B-playlist_owner
original B-playlist
columbia I-playlist
jazzmasters I-playlist
list O

add O
tune B-music_item
to O
my B-playlist_owner
is B-playlist
it I-playlist
new I-playlist
wave I-playlist

add O
another O
album B-music_item
to O
my B-playlist_owner
this B-playlist
is I-playlist
pavarotti I-playlist
playlist O

play O
crossroad B-playlist
blues I-playlist

add O
sara B-artist
hickman I-artist
to O
my B-playlist_owner
targeted B-playlist
list O

i O
want O
to O
add O
the O
classical B-playlist
moments I-playlist
in I-playlist
movies I-playlist
track B-music_item
to O
my B-playlist_owner
playlist O

add O
to O
my B-playlist_owner
verano B-playlist
list O
a O
song B-music_item
by O
andy B-artist
lee I-artist

put O
edwyn B-artist
collins I-artist
onto O
my B-playlist_owner
trabajo B-playlist
relax I-playlist
playlist O

put O
this O
album B-music_item
on O
my B-playlist_owner
wine B-playlist
& I-playlist
dine I-playlist
playlist O

add O
the O
track B-music_item
to O
the O
best B-playlist
metal I-playlist
of I-playlist
the I-playlist
new I-playlist
millennium I-playlist
playlist O

play O
the O
playlist O
funtime B-playlist
activity I-playlist

play O
drive B-playlist
playlist O

add O
artist B-music_item
danny B-artist
carey I-artist
to O
my B-playlist_owner
classic B-playlist
jazz I-playlist
singers I-playlist
playlist O

add O
this O
album B-music_item
to O
my B-playlist_owner
just B-playlist
dance I-playlist
by I-playlist
aftercluv I-playlist
playlist O

add O
this O
song B-music_item
to O
my B-playlist_owner
roadrunner B-playlist
rec I-playlist
new I-playlist
releases I-playlist
list O

add O
this O
track B-music_item
by O
clem B-artist
burke I-artist
to O
my B-playlist_owner
atmospheric B-playlist
black I-playlist
metal I-playlist
playlist O

add O
a O
song B-music_item
to O
my B-playlist_owner
playlist O
a B-playlist
peaceful I-playlist
rush I-playlist
hour I-playlist

add O
mr B-artist
j I-artist
medeiros I-artist
to O
my B-playlist_owner
women B-playlist
of I-playlist
country I-playlist
playlist O

add O
this O
album B-music_item
by O
bruce B-artist
dickinson I-artist
onto O
top B-playlist
entrevistas I-playlist
my B-playlist_owner
playlist O

add O
this O
artist B-music_item
to O
my B-playlist_owner
guilty B-playlist
pleasures I-playlist
playlist O

add O
a O
tune B-music_item
to O
my B-playlist_owner
elrow B-playlist
guest I-playlist
list I-playlist

add O
song B-music_item
to O
top B-playlist
100 I-playlist
country I-playlist
tracks I-playlist
on I-playlist
spotify I-playlist

add O
a O
kiley B-artist
dean I-artist
tune B-music_item
to O
my B-playlist_owner
jazz B-playlist
for I-playlist
loving I-playlist
couples I-playlist
playlist O

add O
album B-music_item
to O
mellow B-playlist
bars I-playlist

add O
tune B-music_item
digster B-playlist
reggae I-playlist

add O
magnifico B-artist
to O
michele B-playlist_owner
s I-playlist_owner
playlist O
called O
88 B-playlist
keys I-playlist

add O
curse B-artist
song B-music_item
to O
my B-playlist_owner
playlist O
guest B-playlist
list I-playlist
engadget I-playlist

add O
bronislau B-artist
kaper I-artist
to O
the O
drive B-playlist
playlist O

add O
artist B-music_item
to O
my B-playlist_owner
phunkadelic B-playlist
playlist O

put O
paula B-artist
abdul I-artist
on O
musica B-playlist
española I-playlist
2017 I-playlist

put O
this O
album B-music_item
on O
my B-playlist_owner
conexiones B-playlist
list O

can O
you O
add O
something O
by O
gregori B-artist
chad I-artist
petree I-artist
to O
the O
playlist O
digster B-playlist
soul I-playlist
classics I-playlist

please O
add O
a O
song B-music_item
to O
ines B-playlist_owner
s I-playlist_owner
playlist O
called O
metal B-playlist
party I-playlist

please O
put O
this O
track B-music_item
onto O
letha B-playlist_owner
s I-playlist_owner
signed B-playlist
xoxo I-playlist
playlist O

add O
the O
artist B-music_item
to O
my B-playlist_owner
31 B-playlist
minutos I-playlist
playlist O

add O
kaya B-artist
newest O
track B-music_item
to O
my B-playlist_owner
i B-playlist
love I-playlist
my I-playlist
00 I-playlist
s I-playlist
r&b I-playlist
playlist O

i O
give O
this O
current B-object_select
textbook B-object_type
a O
rating O
value O
of O
1 B-rating_value
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a O
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of O
6 B-best_rating

rate O
this B-object_select
series B-object_part_of_series_type
a O
5 B-rating_value

give O
this B-object_select
novel B-object_type
5 B-rating_value
stars B-rating_unit

i O
want O
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give O
this O
current B-object_select
textbook B-object_type
4 B-rating_value
points B-rating_unit

rate O
this B-object_select
album B-object_type
a O
1 B-rating_value

rate O
my O
current B-object_select
book B-object_type
1 B-rating_value
out O
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for O
the O
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out O
of O
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i O
give O
the O
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one O
a O
3 B-rating_value

rate O
this B-object_select
book B-object_type
0 B-rating_value
out O
of O
6 B-best_rating

rate O
the O
current B-object_select
novel B-object_type
a O
3 B-rating_value

rate O
the O
current B-object_select
essay B-object_type
2 B-rating_value
out O
of O
6 B-best_rating

give O
zero B-rating_value
/ O
6 B-best_rating
stars B-rating_unit
to O
the O
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album B-object_type

give O
this B-object_select
saga B-object_part_of_series_type
a O
1 B-rating_value

give O
five B-rating_value
out O
of O
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to O
this B-object_select
novel B-object_type

give O
this B-object_select
textbook B-object_type
zero B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

rate O
the O
current B-object_select
novel B-object_type
0 B-rating_value
of O
6 B-best_rating

rate O
this B-object_select
essay B-object_type
a O
two B-rating_value

give O
two B-rating_value
stars B-rating_unit
to O
current B-object_select
chronicle B-object_part_of_series_type

rate O
this B-object_select
saga B-object_part_of_series_type
two B-rating_value
with O
a O
bet O
rating O
of O
6 B-best_rating

i O
give O
this O
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essay B-object_type
zero B-rating_value
out O
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points B-rating_unit

i O
give O
the O
last B-object_select
textbook B-object_type
one B-rating_value
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of O
6 B-best_rating
points B-rating_unit

rate O
this B-object_select
essay B-object_type
a O
four B-rating_value

rate O
this B-object_select
chronicle B-object_part_of_series_type
one B-rating_value
of O
6 B-best_rating
points B-rating_unit

the O
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saga B-object_part_of_series_type
deserves O
a O
5 B-rating_value
rating O

this O
book B-object_type
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points B-rating_unit
for O
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points B-rating_unit

i O
give O
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novel B-object_type
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stars B-rating_unit
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current I-object_select
essay B-object_type
four B-rating_value
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album B-object_type
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points B-rating_unit

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a O
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book B-object_type

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series B-object_part_of_series_type
chronicle I-object_part_of_series_type
0 B-rating_value
points B-rating_unit

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textbook B-object_type
four B-rating_value
points B-rating_unit

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i O
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book B-object_type
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textbook B-object_type
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novel B-object_type
a O
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i O
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want O
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give O
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album B-object_type
a O
score O
of O
five B-rating_value
out O
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i O
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novel B-object_type
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6 B-best_rating
points B-rating_unit

0 B-rating_value
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textbook B-object_type

rate O
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i O
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the O
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book B-object_type
i O
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is O
only O
worthy O
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essay B-object_type
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of O
6 B-best_rating

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rate O
this B-object_select
album B-object_type
a O
one B-rating_value

the O
current B-object_select
series B-object_part_of_series_type
deserves O
three B-rating_value
stars B-rating_unit

rate O
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book B-object_type
0 B-rating_value
stars B-rating_unit

give O
the O
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album B-object_type
a O
four B-rating_value

the O
current B-object_select
novel B-object_type
i O
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a O
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of O
6 B-best_rating

i O
want O
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give O
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novel B-object_type
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6 B-best_rating
points B-rating_unit

i O
give O
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previous B-object_select
series B-object_part_of_series_type
four B-rating_value
stars B-rating_unit

give O
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four B-rating_value
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i O
wish O
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textbook B-object_type
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rate O
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series B-object_part_of_series_type
two B-rating_value
of O
6 B-best_rating

this B-object_select
album B-object_type
deserves O
a O
0 B-rating_value
of O
6 B-best_rating
possible O

this B-object_select
album B-object_type
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one B-rating_value
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i O
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essay B-object_type
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3 B-rating_value

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giving O
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current B-object_select
novel B-object_type
1 B-rating_value
out O
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6 B-best_rating
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rate O
the O
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essay B-object_type
with O
4 B-rating_value
points B-rating_unit

rate O
the O
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essay B-object_type
5 B-rating_value
stars B-rating_unit

rate O
current B-object_select
album B-object_type
five B-rating_value

i O
give O
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textbook B-object_type
a O
2 B-rating_value

i O
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i O
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album B-object_type
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6 B-best_rating

give O
4 B-rating_value
stars B-rating_unit
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this B-object_select
essay B-object_type

give O
this B-object_select
series B-object_part_of_series_type
3 B-rating_value
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for O
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i O
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5 B-rating_value
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rate O
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novel B-object_type
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essay B-object_type
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points B-rating_unit
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6 B-best_rating

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four B-rating_value
stars B-rating_unit
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i O
want O
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novel B-object_type
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want O
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rate O
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book B-object_type
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a O
2 B-rating_value

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give O
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textbook B-object_type
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6 B-best_rating
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i O
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album B-object_type
4 B-rating_value
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one B-rating_value
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6 B-best_rating
ratings O

rate O
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6 B-best_rating

this B-object_select
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a O
1 B-rating_value
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textbook B-object_type

rate O
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book B-object_type
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rate O
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current B-object_select
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a O
one B-rating_value

i O
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chronicle B-object_part_of_series_type
three B-rating_value
points B-rating_unit

i O
want O
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textbook B-object_type
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out O
of O
6 B-best_rating

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i O
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novel B-object_type
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points B-rating_unit

give O
me O
a O
list O
of O
movie B-object_type
times I-object_type
for O
films B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

show O
me O
the O
picture B-object_type
creatures B-object_name
of I-object_name
light I-object_name
and I-object_name
darkness I-object_name

play O
hell B-object_name
house I-object_name
song B-object_type

find O
movie B-object_type
times I-object_type

show O
movie B-object_type
schedules I-object_type
for O
douglas B-location_name
theatre I-location_name
company I-location_name

i O
d O
like O
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show B-object_type
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sportsdome I-object_name

find O
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video B-object_type
game I-object_type
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victory B-object_name
march I-object_name

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novel B-object_type
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industry B-object_name

let O
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schedule B-object_type
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seed B-movie_name
of I-movie_name
chucky I-movie_name

what O
times B-object_type
will O
the B-movie_name
young I-movie_name
swordsman I-movie_name
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showing O
at O
a O
local O
cinema B-object_location_type

show O
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schedule I-object_type
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theatres I-location_name

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find O
the O
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girl I-object_name

find O
playstation官方杂志 B-object_name
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song B-object_type

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me O
the O
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fool B-object_name
for I-object_name
love I-object_name

find O
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game I-object_type
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a B-object_name
stroll I-object_name
in I-object_name
the I-object_name
pork I-object_name

find O
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journal I-object_name
of I-object_name
bilingualism I-object_name

i O
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highlands B-object_name
today I-object_name

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i O
want O
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television B-object_type
show I-object_type
naked B-object_name
ii I-object_name

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three B-object_name
tales I-object_name
album B-object_type

i O
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shohola B-object_name
falls I-object_name
a O
two B-rating_value
out O
of O
6 B-best_rating

rate O
competitors B-object_name
2 B-rating_value
stars B-rating_unit
out O
of O
6 B-best_rating

rate O
the B-object_name
white I-object_name
body I-object_name
of I-object_name
evening I-object_name
one B-rating_value
of O
6 B-best_rating

rate O
the O
book B-object_type
series B-object_part_of_series_type
i B-object_name
robot I-object_name
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
rate O
mosses B-object_name
from I-object_name
an I-object_name
old I-object_name
manse I-object_name
a O
0 B-rating_value

i O
give O
the B-object_name
universe I-object_name
maker I-object_name
a O
rating O
of O
zero B-rating_value

rate O
the B-object_name
natural I-object_name
a O
4 B-rating_value

rate O
tragedy B-object_name
day I-object_name
a O
4 B-rating_value

rate O
the B-object_name
promise I-object_name
1 B-rating_value
points B-rating_unit

the B-object_name
rats I-object_name
of I-object_name
hamelin I-object_name
deserves O
zero B-rating_value
points B-rating_unit

rate O
short B-object_name
trips: I-object_name
destination I-object_name
prague I-object_name
five B-rating_value
out O
of O
6 B-best_rating

i O
rate O
egg B-object_name
collecting I-object_name
and I-object_name
bird I-object_name
life I-object_name
of I-object_name
australia I-object_name
a O
zero B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

why B-object_name
buffy I-object_name
matters I-object_name
is O
zero B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

i O
rate O
american B-object_name
history: I-object_name
a I-object_name
survey I-object_name
a O
5 B-rating_value

rate O
the O
book B-object_type
saga B-object_part_of_series_type
west B-object_name
with I-object_name
the I-object_name
night I-object_name
a O
2 B-rating_value

rate O
unlimited B-object_name
power I-object_name
4 B-rating_value
of O
6 B-best_rating
points B-rating_unit

rate O
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit
to O
my B-object_name
favorite I-object_name
fantasy I-object_name
story I-object_name

a B-object_name
conspiracy I-object_name
of I-object_name
paper I-object_name
deserves O
a O
solid O
3 B-rating_value

i O
would O
rate O
the O
executive B-object_name
power I-object_name
a O
four B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

i O
would O
give O
bones B-object_name
of I-object_name
the I-object_name
earth I-object_name
2 B-rating_value
points B-rating_unit

rate O
notes B-object_name
from I-object_name
the I-object_name
internet I-object_name
apocalypse I-object_name
four B-rating_value
of O
6 B-best_rating
stars B-rating_unit

rate O
gota’s B-object_name
war I-object_name
a O
one B-rating_value

i O
give O
the B-object_name
french I-object_name
suicide I-object_name
5 B-rating_value
stars B-rating_unit

rate O
body B-object_name
of I-object_name
secrets I-object_name
one B-rating_value
stars B-rating_unit

rate O
the O
casualties B-object_name
of I-object_name
peace I-object_name
series B-object_part_of_series_type
one B-rating_value
of O
6 B-best_rating

i O
give O
the B-object_name
vinyl I-object_name
cafe I-object_name
notebooks I-object_name
a O
0 B-rating_value
of O
6 B-best_rating

give O
3 B-rating_value
/ O
6 B-best_rating
stars B-rating_unit
to O
the B-object_name
simon I-object_name
& I-object_name
schuster I-object_name
encyclopedia I-object_name
of I-object_name
dinosaurs I-object_name
and I-object_name
prehistoric I-object_name
creatures I-object_name

rate O
alfred B-object_name
kropp: I-object_name
the I-object_name
thirteenth I-object_name
skull I-object_name
3 B-rating_value
out O
of O
6 B-best_rating

give O
two B-rating_value
star O
to O
as B-object_name
long I-object_name
as I-object_name
we I-object_name
both I-object_name
shall I-object_name
live I-object_name
book B-object_type

i O
give O
a O
rating O
of O
3 B-rating_value
to O
the B-object_name
ultimate I-object_name
resource I-object_name

i O
didn O
t O
like O
the O
book B-object_type
nobody B-object_name
lives I-object_name
for I-object_name
ever I-object_name
i O
give O
it O
a O
2 B-rating_value

rate O
definitely B-object_name
dead I-object_name
saga B-object_part_of_series_type
5 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

i O
d O
give O
the O
main-travelled B-object_name
roads I-object_name
series B-object_part_of_series_type
0 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

give O
5 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
coming B-object_name
home I-object_name

give O
the B-object_name
phantom I-object_name
ship I-object_name
a O
zero B-rating_value

give O
the B-object_name
pirates I-object_name
of I-object_name
manhattan I-object_name
a O
1 B-rating_value

give O
4 B-rating_value
star O
for O
this B-object_select
album B-object_type

i O
d O
rate O
the B-object_name
rise I-object_name
of I-object_name
the I-object_name
west I-object_name
a O
2 B-rating_value
of O
6 B-best_rating
stars B-rating_unit

rate O
beyond B-object_name
the I-object_name
shadows I-object_name
3 B-rating_value
of O
6 B-best_rating
stars B-rating_unit

give O
zero B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit
to O
marxism B-object_name
and I-object_name
the I-object_name
oppression I-object_name
of I-object_name
women I-object_name

rate O
mimi B-object_name
and I-object_name
the I-object_name
biscuit I-object_name
factory I-object_name
5 B-rating_value
out O
of O
6 B-best_rating

can O
you O
rate O
this O
current B-object_select
essay B-object_type
with O
zero B-rating_value
stars B-rating_unit

rate O
the B-object_name
bourne I-object_name
deception I-object_name
4 B-rating_value
of O
6 B-best_rating

the O
current B-object_select
rating O
of O
6 B-best_rating
out O
of O
two B-rating_value
for O
a O
textbook B-object_type

i O
give O
the O
carry B-object_name
me I-object_name
down I-object_name
chronicle B-object_part_of_series_type
three B-rating_value
of O
6 B-best_rating
points B-rating_unit

rate O
this B-object_select
series B-object_part_of_series_type
1 B-rating_value
out O
of O
6 B-best_rating

rate O
the O
parable B-object_name
of I-object_name
the I-object_name
sower I-object_name
a O
2 B-rating_value
out O
of O
6 B-best_rating

i O
d O
rate O
this B-object_select
essay B-object_type
1 B-rating_value
out O
of O
6 B-best_rating

i O
want O
to O
give O
nautch B-object_name
girls I-object_name
of I-object_name
india I-object_name
four B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

rate O
the O
following B-object_select
novel B-object_type
one B-rating_value
of O
6 B-best_rating

please O
rate O
this B-object_select
textbook B-object_type
five B-rating_value
stars B-rating_unit
out O
of O
6 B-best_rating

i O
give O
the O
part O
of O
the O
chronicle B-object_part_of_series_type
growth B-object_name
fetish I-object_name
four B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
the O
current B-object_select
essay B-object_type
0 B-rating_value
of O
6 B-best_rating

i O
give O
the O
chronicle B-object_part_of_series_type
atop B-object_name
an I-object_name
underwood: I-object_name
early I-object_name
stories I-object_name
and I-object_name
other I-object_name
writings I-object_name
a O
rating O
value O
of O
3 B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
the B-object_name
lotus I-object_name
and I-object_name
the I-object_name
storm I-object_name
zero B-rating_value
of O
6 B-best_rating

i O
am O
giving O
paedophilia: B-object_name
the I-object_name
radical I-object_name
case I-object_name
a O
rating O
of O
2 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

i O
liked O
ports B-object_name
of I-object_name
call I-object_name
i O
d O
give O
it O
a O
5 B-rating_value
out O
of O
6 B-best_rating

rate O
the O
current B-object_select
novel B-object_type
five B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
give O
rogue B-object_name
ship I-object_name
5 B-rating_value
out O
of O
6 B-best_rating

rate O
the B-object_name
masks I-object_name
of I-object_name
time I-object_name
zero B-rating_value
of O
6 B-best_rating
stars B-rating_unit

i O
am O
giving O
the O
current B-object_select
novel B-object_type
a O
four B-rating_value
out O
of O
6 B-best_rating
rating O

rate O
this B-object_select
album B-object_type
3 B-rating_value
out O
of O
6 B-best_rating

rate O
the O
current B-object_select
album B-object_type
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

i O
think O
this B-object_select
novel B-object_type
only O
deserves O
2 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

the B-object_name
complex: I-object_name
how I-object_name
the I-object_name
military I-object_name
invades I-object_name
our I-object_name
everyday I-object_name
lives I-object_name
has O
a O
best O
rating O
of O
6 B-best_rating
stars B-rating_unit
but O
i O
will O
give O
it O
zero B-rating_value

rate O
the O
book B-object_type
strumpet B-object_name
city I-object_name
zero B-rating_value
for O
6 B-best_rating

the O
following B-object_select
essay B-object_type
is O
worth O
four B-rating_value
out O
6 B-best_rating

i O
give O
3 B-rating_value
of O
6 B-best_rating
stars B-rating_unit
for O
the O
current B-object_select
textbook B-object_type

give O
0 B-rating_value
out O
od O
6 B-best_rating
stars B-rating_unit
to O
mystery B-object_name
of I-object_name
the I-object_name
desert I-object_name
giant I-object_name

rate O
dixie B-object_name
lullaby: I-object_name
a I-object_name
story I-object_name
of I-object_name
music I-object_name
race I-object_name
and I-object_name
new I-object_name
beginnings I-object_name
in I-object_name
a I-object_name
new I-object_name
south I-object_name
five B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

a B-object_name
writing I-object_name
kind I-object_name
of I-object_name
day I-object_name
deserves O
three B-rating_value
points B-rating_unit
and O
a O
best O
rating O
of O
6 B-best_rating

give O
one B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit
to O
the B-object_name
psychopathic I-object_name
god I-object_name
series B-object_part_of_series_type

this B-object_select
series B-object_part_of_series_type
should O
get O
0 B-rating_value
of O
6 B-best_rating
points B-rating_unit

i O
am O
giving O
this O
current B-object_select
novel B-object_type
1 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
cold B-object_name
light I-object_name
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

give O
two B-rating_value
out O
of O
6 B-best_rating
to O
current B-object_select
book B-object_type

this B-object_select
chronicle B-object_part_of_series_type
gets O
a O
three B-rating_value
out O
of O
6 B-best_rating

give O
three B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating
to O
one B-object_name
hundred I-object_name
poems I-object_name
of I-object_name
tukaram I-object_name

rate O
the B-object_name
removers I-object_name
4 B-rating_value
out O
of O
6 B-best_rating

rate O
political B-object_name
liberalism I-object_name
1 B-rating_value
out O
6 B-best_rating
stars B-rating_unit

rate O
the O
current B-object_select
book B-object_type
3 B-rating_value
of O
6 B-best_rating

rate O
the O
current B-object_select
album B-object_type
4 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
think O
that O
this B-object_select
chronicle B-object_part_of_series_type
should O
have O
a O
best O
rating O
of O
6 B-best_rating
and O
a O
value O
of O
one B-rating_value

i O
am O
giving O
this O
current B-object_select
album B-object_type
a O
rating O
of O
four B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

i O
give O
the B-object_name
aquariums I-object_name
of I-object_name
pyongyang I-object_name
3 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
mouse B-object_name
noses I-object_name
on I-object_name
toast I-object_name
5 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

i O
want O
to O
give O
this B-object_select
book B-object_type
three B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
4 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
this B-object_select
textbook B-object_type

rate O
this B-object_select
essay B-object_type
4 B-rating_value
of O
6 B-best_rating
stars B-rating_unit

rate O
the O
book B-object_type
a B-object_name
brief I-object_name
history I-object_name
of I-object_name
chinese I-object_name
fiction I-object_name
0 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

rate O
winnie-the-pooh B-object_name
four B-rating_value
out O
of O
6 B-best_rating

give O
the O
saga B-object_part_of_series_type
called O
the B-object_name
bridges I-object_name
of I-object_name
madison I-object_name
county I-object_name
four B-rating_value
of O
6 B-best_rating
stars B-rating_unit

award O
a O
rating O
of O
2 B-rating_value
stars B-rating_unit
out O
of O
6 B-best_rating
to O
confessions B-object_name
of I-object_name
an I-object_name
economic I-object_name
hit I-object_name
man I-object_name

give O
the O
current B-object_select
book B-object_type
a O
one B-rating_value
out O
of O
6 B-best_rating

rate O
the B-object_name
abyss I-object_name
of I-object_name
wonders I-object_name
4 B-rating_value
out O
of O
6 B-best_rating

rate O
this B-object_select
book B-object_type
series B-object_part_of_series_type
zero B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

rate O
this B-object_select
album B-object_type
two B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
four B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
this B-object_select
textbook B-object_type

rate O
the O
current B-object_select
book B-object_type
one B-rating_value
of O
6 B-best_rating
points B-rating_unit

rate O
the O
black B-object_name
coffee I-object_name
chronicle B-object_part_of_series_type
three B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
the O
current B-object_select
essay B-object_type
three B-rating_value
of O
6 B-best_rating
points B-rating_unit

out O
of O
6 B-best_rating
give O
the B-object_name
morganville I-object_name
vampires I-object_name
a O
1 B-rating_value

rate O
this B-object_select
textbook B-object_type
5 B-rating_value
out O
of O
6 B-best_rating

rate O
the B-object_name
secret I-object_name
of I-object_name
dr I-object_name
honigberger I-object_name
2 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

give O
1 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
current B-object_select
book B-object_type

i O
give O
a O
rating O
of O
4 B-rating_value
out O
of O
6 B-best_rating
for O
the O
book B-object_type
my B-object_name
sister I-object_name
and I-object_name
i I-object_name

rate O
the O
rogue B-object_name
lawyer I-object_name
4 B-rating_value
out O
of O
6 B-best_rating

rate O
the O
current B-object_select
essay B-object_type
four B-rating_value
out O
of O
6 B-best_rating

rate O
the O
current B-object_select
book B-object_type
5 B-rating_value
of O
6 B-best_rating
points B-rating_unit

i O
give O
this B-object_select
book B-object_type
five B-rating_value
stars B-rating_unit
out O
of O
6 B-best_rating

rate O
the B-object_name
change I-object_name
0 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

rate O
voyage B-object_name
in I-object_name
the I-object_name
dark I-object_name
3 B-rating_value
of O
6 B-best_rating

give O
five B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
the B-object_name
arrows I-object_name
of I-object_name
hercules I-object_name

i O
give O
obama: B-object_name
from I-object_name
promise I-object_name
to I-object_name
power I-object_name
6 B-best_rating
points B-rating_unit
and O
a O
rating O
value O
of O
1 B-rating_value

rate O
the O
michel B-object_name
strogoff I-object_name
saga B-object_part_of_series_type
four B-rating_value
of O
6 B-best_rating

rate O
lost B-object_name
empires I-object_name
of I-object_name
faerûn I-object_name
five B-rating_value
of O
6 B-best_rating
stars B-rating_unit

rate O
the O
current B-object_select
saga B-object_part_of_series_type
4 B-rating_value
of O
6 B-best_rating

i O
am O
rating O
this B-object_select
book B-object_type
under O
the O
series B-object_part_of_series_type
section O
a O
three B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
would O
give O
sixty B-object_name
lights I-object_name
chronicle B-object_part_of_series_type
a O
rating O
of O
five B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

the O
book B-object_type
dying B-object_name
in I-object_name
other I-object_name
words I-object_name
deserves O
at O
least O
five B-rating_value
points B-rating_unit
on O
a O
6 B-best_rating
point O
scale O

rate O
the B-object_name
simplest I-object_name
words I-object_name
a O
four B-rating_value
out O
of O
6 B-best_rating

rate O
animals B-object_name
of I-object_name
the I-object_name
bible I-object_name
one B-rating_value
of O
6 B-best_rating
points B-rating_unit

rate O
the O
current B-object_select
novel B-object_type
5 B-rating_value
of O
6 B-best_rating
points B-rating_unit

give O
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
the B-object_name
shiva I-object_name
option I-object_name

rate O
this B-object_select
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i O
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1997 B-year

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1951 B-year

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paul B-artist
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maurice I-track

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airi B-artist
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i O
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add O
hemanta B-artist
kumar I-artist
mukhopadhyay I-artist
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funky B-playlist
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i O
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play O
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impulso B-playlist
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play O
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tveitan I-artist

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soft B-playlist
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put O
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berry I-artist
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elrow B-playlist
guest I-playlist
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put O
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eisen I-artist
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canta B-playlist
en I-playlist
la I-playlist
ducha I-playlist

add O
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leena B-artist
peisa I-artist
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my B-playlist_owner
amor B-playlist
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add O
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the B-playlist
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punk I-playlist
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put O
this O
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my B-playlist_owner
infinite B-playlist
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play O
the O
newest B-sort
martin B-artist
solveig I-artist
sound B-music_item
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put O
this O
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my B-playlist_owner
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play O
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last B-sort
1954 B-year
ep B-music_item
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povel B-artist
ramel I-artist

play O
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1956 B-year
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nozomi B-artist
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boaz B-artist
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2004 B-year

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shaggy B-artist

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2000 B-year

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lewis I-artist
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midnight B-track
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arsenault I-artist

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maso I-artist

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play O
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choose I-track

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lauryn B-artist
hill I-artist

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shannon B-artist

play O
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amar I-artist
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kotoko B-artist

play O
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bhupinder B-artist
singh I-artist

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play O
pease B-track
porridge I-track
hot I-track
by O
johnny B-artist
vicious I-artist
on O
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play O
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lapsed I-track
by O
marilyn B-artist
moore I-artist

play O
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play O
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hamedi I-artist

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tsukiko B-artist
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on O
pandora B-service

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lampa I-artist

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by O
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on O
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jintana I-artist
racine I-artist

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groove B-service
shark I-service

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liubi B-track
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netflix B-service

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vincent B-artist
paul I-artist
abbott I-artist

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massimo B-artist
altomare I-artist

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hariprasad B-artist
chaurasia I-artist

play O
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keiji B-artist
haino I-artist

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chantal B-artist
kreviazuk I-artist
sister B-track
ray I-track

play O
who B-track
knows I-track
where I-track
the I-track
time I-track
goes I-track
by O
grigory B-artist
leps I-artist

play O
the B-track
necromancer I-track

play O
rocket B-track
queen I-track
on O
itunes B-service

play O
wanted B-track
by O
erykah B-artist
badu I-artist

play O
some O
the B-track
lady I-track
is I-track
a I-track
tramp I-track
from O
timour B-artist
moutsouraev I-artist

play O
the O
song B-music_item
si B-track
no I-track
te I-track
hubiera I-track
conocido I-track
by O
haidar B-artist
salim I-artist

play O
ray B-artist
davies I-artist
on O
iheart B-service
by O
only O
hit B-track
it I-track
again I-track

play O
miami B-track
2017 I-track
by O
rodney B-artist
whitaker I-artist

play O
crazy=genius B-track
by O
the B-artist
alchemist I-artist

play O
the B-track
new I-track
timer I-track
by O
augustus B-artist
pablo I-artist
with O
itunes B-service

play O
the O
track B-music_item
r B-track
u I-track
professional I-track
by O
roberto B-artist
carlos I-artist
braga I-artist

i O
d O
like O
to O
hear O
cry B-track
baby I-track
cry I-track
by O
ally B-artist
kerr I-artist

play O
vanlose B-track
stairway I-track
by O
janove B-artist
ottesen I-artist

play O
bald B-track
by O
kaskade B-artist

play O
oj B-track
jelena I-track
jelena I-track
jabuka I-track
zelena I-track
by O
ler B-artist
lalonde I-artist

play O
track B-music_item
her B-track
majesty I-track

play O
the O
song B-music_item
le B-track
renouveau I-track

i O
want O
to O
hear O
la B-track
jaula I-track
de I-track
oro I-track
by O
mc B-artist
ren I-artist
on O
google B-service
music I-service

play O
tomorrow B-track

play O
the O
song B-music_item
waar B-track
is I-track
de I-track
zon I-track
on O
slacker B-service

play O
seasons B-track
in I-track
the I-track
sun I-track
by O
rosco B-artist
gordon I-artist
on O
iheart B-service

play O
stereo B-track
by O
jonathan B-artist
davis I-artist
on O
deezer B-service

play O
music O
by O
ryan B-artist
malcolm I-artist
from O
sympathy B-track
for I-track
the I-track
devil I-track
on O
pandora B-service

play O
clay B-artist
aiken I-artist
s O
the B-track
bonny I-track
hind I-track
on O
groove B-service
shark I-service

i O
want O
to O
hear O
ding B-track
dong I-track
bell I-track
on O
groove B-service
shark I-service

play O
track B-music_item
real B-track
talk I-track

play O
teri B-track
meri I-track
by O
josh B-artist
white I-artist

i O
want O
to O
hear O
de B-track
eerste I-track
keer I-track
from O
paul B-artist
caiafa I-artist
off O
of O
google B-service
music I-service

can O
i O
use O
lastfm B-service
to O
listen O
to O
twilight B-track
time I-track
by O
dj B-artist
khalil I-artist

play O
fais B-track
les I-track
backs I-track
by O
sarah B-artist
geronimo I-artist
on O
youtube B-service

play O
lily B-track
rosemary I-track
and I-track
the I-track
jack I-track
of I-track
hearts I-track
by O
chris B-artist
goss I-artist

can O
you O
play O
maggie B-track
mae I-track
on O
netflix B-service

play O
the B-track
cherry-tree I-track
carol I-track
by O
edwin B-artist
mccain I-artist

play O
i B-track
believe I-track
from O
chico B-artist
buarque I-artist
off O
of O
iheart B-service

play O
ramakadha B-track
by O
karl B-artist
davydov I-artist
please O

can O
you O
play O
under B-track
the I-track
anheuser I-track
bush I-track
by O
pete B-artist
doherty I-artist

play O
the B-track
trail I-track
of I-track
the I-track
lonesome I-track
pine I-track
on O
netflix B-service

play O
dancing B-track
through I-track
life I-track
by O
ronald B-artist
isley I-artist
on O
spotify B-service

play O
the O
track B-music_item
fight B-track
on I-track
state I-track
by O
yuvan B-artist
shankar I-artist
raja I-artist

play O
the O
song B-music_item
victim B-track
of I-track
changes I-track
from O
hawkshaw B-artist
hawkins I-artist
on O
spotify B-service

play O
the O
song B-music_item
drifting B-track
on I-track
a I-track
reed I-track
by O
bobby B-artist
g I-artist

play O
socialism B-track
is I-track
good I-track
by O
terje B-artist
bakken I-artist
on O
spotify B-service

play O
the B-track
garden I-track
of I-track
allah I-track
from O
wade B-artist
mainer I-artist

i O
want O
to O
listen O
to O
merrily B-track
we I-track
roll I-track
along I-track
by O
marko B-artist
desantis I-artist

play O
one B-track
good I-track
reason I-track
by O
tommy B-artist
flanagan I-artist
on O
itunes B-service

play O
odessa B-track
by O
maartin B-artist
allcock I-artist

play O
used B-track
to I-track
love I-track
her I-track
by O
dara B-artist

play O
the B-track
view I-track
from I-track
the I-track
afternoon I-track
by O
malese B-artist
jow I-artist
on O
last B-service
fm I-service

play O
me O
the O
track B-music_item
mama B-track
liked I-track
the I-track
roses I-track

play O
tenerife B-track
sea I-track
by O
daniel B-artist
salomon I-artist
on O
lastfm B-service

i O
want O
to O
hear O
aki B-artist
nawaz I-artist
play O
the O
song B-music_item
fair B-track
annie I-track

play O
furusato B-track
on O
google B-service
music I-service

i O
want O
to O
put O
roberto B-artist
valverde I-artist
into O
my B-playlist_owner
ultra B-playlist
metal I-playlist
list O

can O
you O
add O
something O
from O
method B-artist
man I-artist
to O
my B-playlist_owner
this B-playlist
is I-playlist
mozart I-playlist
playlist O

add O
olga B-artist
souza I-artist
to O
virginia B-playlist_owner
s I-playlist_owner
femme B-playlist
fatale I-playlist
playlist O

add O
lee B-artist
seung I-artist
gi I-artist
to O
my B-playlist_owner
baila B-playlist
reggaeton I-playlist
playlist O

add O
paulinho B-artist
da I-artist
viola I-artist
to O
my B-playlist_owner
radio B-playlist
rock I-playlist
song O
list O

add O
luiza B-artist
possi I-artist
to O
my B-playlist_owner
bachelor B-playlist
party I-playlist
playlist O

add O
francesco B-artist
de I-artist
gregori I-artist
to O
my B-playlist_owner
classical B-playlist
new I-playlist
releases I-playlist
spotify I-playlist
picks I-playlist
playlist O

can O
you O
add O
some O
tommie B-artist
sunshine I-artist
to O
my B-playlist_owner
chill B-playlist
out I-playlist
playlist O

add O
something O
by O
ritchie B-artist
valens I-artist
to O
my B-playlist_owner
playlist O
virales B-playlist
de I-playlist
siempre I-playlist

add O
the O
singer O
barbara B-artist
to O
my B-playlist_owner
country B-playlist
radio I-playlist
playlists O

add O
sara B-artist
carter I-artist
to O
my B-playlist_owner
nothing B-playlist
but I-playlist
a I-playlist
party I-playlist
r&b I-playlist

put O
frank B-artist
farian I-artist
on O
lydia B-playlist_owner
s I-playlist_owner
playlist O
called O
the B-playlist
black I-playlist
power I-playlist
mixtape I-playlist
1967 I-playlist
to I-playlist
1975 I-playlist

add O
nana B-artist
kitade I-artist
to O
my B-playlist_owner
modern B-playlist
psychedelia I-playlist
playlist O

add O
i B-artist
roy I-artist
to O
my B-playlist_owner
this B-playlist
is I-playlist
rosana I-playlist
playlist O

napoleon B-artist
xiv I-artist
should O
be O
added O
to O
sharlene B-playlist_owner
s I-playlist_owner
playlist O
transatlantic B-playlist
lullaby I-playlist

add O
paul B-artist
young I-artist
to O
my B-playlist_owner
retrovisor B-playlist

add O
shahrum B-artist
kashani I-artist
to O
my B-playlist_owner
country B-playlist
hits I-playlist

add O
ashley B-artist
mcisaac I-artist
to O
my B-playlist_owner
r&b B-playlist
party I-playlist
classics I-playlist
playlist O

add O
jon B-artist
mclaughlin I-artist
to O
my B-playlist_owner
forever B-playlist
country I-playlist
playlist O

add O
joe B-artist
mcphee I-artist
to O
my B-playlist_owner
picnic B-playlist
in I-playlist
the I-playlist
park I-playlist
play O
list O

put O
robbie B-artist
robertson I-artist
into O
my B-playlist_owner
chill B-playlist
out I-playlist
playlist O

add O
big B-artist
bill I-artist
broonzy I-artist
to O
my B-playlist_owner
impulso B-playlist
creativo I-playlist

put O
kids B-entity_name
of I-entity_name
the I-entity_name
black I-entity_name
hole I-entity_name
onto O
my B-playlist_owner
90s B-playlist
por I-playlist
siempre I-playlist
playlist O

put O
this O
album B-music_item
on O
my B-playlist_owner
playlist O
titled O
dance B-playlist
hits I-playlist

add O
cordell B-artist
mosson I-artist
to O
my B-playlist_owner
i B-playlist
love I-playlist
my I-playlist
neo I-playlist
soul I-playlist
list O

add O
irish B-entity_name
heartbeat I-entity_name
to O
my B-playlist_owner
trapeo B-playlist
playlist O

add O
madlib B-entity_name
invazion I-entity_name
to O
my B-playlist_owner
prog B-playlist
rock I-playlist
monsters I-playlist
list O

add O
the O
song B-music_item
to O
my B-playlist_owner
the B-playlist
funny I-playlist
thing I-playlist
about I-playlist
football I-playlist
is I-playlist
playlist O

add O
unreachable B-entity_name
to O
my B-playlist_owner
wine B-playlist
& I-playlist
dine I-playlist
playlist O

add O
country B-entity_name
favorites I-entity_name
willie I-entity_name
nelson I-entity_name
style I-entity_name
to O
my B-playlist_owner
playlist O
titled O
spinnin B-playlist
records I-playlist
top I-playlist
100 I-playlist

add O
milas B-entity_name
poli I-entity_name
to O
my B-playlist_owner
indie B-playlist
bluegrass I-playlist

add O
new B-entity_name
wave I-entity_name
blues I-entity_name
to O
my B-playlist_owner
push B-playlist
button I-playlist
funk I-playlist
playlist O

add O
billy B-artist
eckstine I-artist
to O
my B-playlist_owner
emotron B-playlist

add O
tune B-music_item
to O
my B-playlist_owner
country B-playlist
playlist O

add O
munawar B-artist
ali I-artist
khan I-artist
to O
my B-playlist_owner
mujeres B-playlist
y I-playlist
hombres I-playlist
y I-playlist
fiesta I-playlist

i O
d O
like O
to O
add O
this O
tune B-music_item
to O
my B-playlist_owner
spotify B-playlist
orchestra I-playlist
cello I-playlist
playlist O

add O
waltz B-entity_name
for I-entity_name
debby I-entity_name
to O
my B-playlist_owner
soft B-playlist
pop I-playlist
hits I-playlist
playlist O

put O
pedro B-entity_name
navaja I-entity_name
onto O
my B-playlist_owner
flamenco B-playlist
pa I-playlist
ti I-playlist
playlist O

add O
this O
song B-music_item
to O
my B-playlist_owner
this B-playlist
is I-playlist
kevin I-playlist
johansen I-playlist

put O
this O
tune B-music_item
by O
mark B-artist
norman I-artist
on O
my B-playlist_owner
keep B-playlist
calm I-playlist
list O

add O
la B-entity_name
woman I-entity_name
to O
my B-playlist_owner
soul B-playlist
lounge I-playlist
playlist O

add O
tsubasa B-artist
imai I-artist
to O
my B-playlist_owner
another B-playlist
glass I-playlist
playlist O

add O
this O
album B-music_item
to O
my B-playlist_owner
throwback B-playlist
party I-playlist
playlist O

add O
rise B-entity_name
of I-entity_name
the I-entity_name
infidels I-entity_name
to O
my B-playlist_owner
bring B-playlist
back I-playlist
the I-playlist
90s I-playlist
playlist O

add O
song B-music_item
to O
my B-playlist_owner
pure B-playlist
rock I-playlist
& I-playlist
roll I-playlist

i O
need O
to O
add O
another O
track B-music_item
to O
my B-playlist_owner
cleaning B-playlist
playlist O

add O
bring B-entity_name
back I-entity_name
my I-entity_name
daddy I-entity_name
to I-entity_name
me I-entity_name
to O
my B-playlist_owner
playlist O
named O
might B-playlist
and I-playlist
myth I-playlist
power I-playlist
metal I-playlist

add O
the B-entity_name
unraveling I-entity_name
to O
marina B-playlist_owner
s I-playlist_owner
playlist O
it B-playlist
s I-playlist
a I-playlist
southern I-playlist
thing I-playlist

add O
the B-entity_name
man I-entity_name
who I-entity_name
never I-entity_name
lied I-entity_name
to O
my B-playlist_owner
current O
comedy B-playlist
top I-playlist
tracks I-playlist

add O
beijing B-entity_name
huanying I-entity_name
ni I-entity_name
to O
my B-playlist_owner
workday B-playlist
lounge I-playlist
playlist O

i O
want O
to O
add O
this O
bon B-artist
scott I-artist
song B-music_item
to O
my B-playlist_owner
post-grunge B-playlist
list O

add O
the O
track B-music_item
to O
my B-playlist_owner
playlist O
with O
the O
title O
showstopper B-playlist
being I-playlist
mary I-playlist
jane I-playlist

add O
vera B-entity_name
to O
my B-playlist_owner
80 B-playlist
s I-playlist
jam I-playlist
session I-playlist
playlist O

add O
francesco B-artist
de I-artist
gregori I-artist
to O
gayle B-playlist_owner
s I-playlist_owner
women B-playlist
who I-playlist
dj I-playlist
playlist O

add O
this O
track B-music_item
to O
my B-playlist_owner
road B-playlist
trip I-playlist
playlist O

add O
that B-entity_name
was I-entity_name
only I-entity_name
yesterday I-entity_name
the I-entity_name
last I-entity_name
ep I-entity_name
to O
my B-playlist_owner
afternoon B-playlist
train I-playlist
ride I-playlist
playlist O

add O
defined B-entity_name
by I-entity_name
struggle I-entity_name
to O
chillin B-playlist
on I-playlist
a I-playlist
dirt I-playlist
road I-playlist
to O
my B-playlist_owner
playlist O

add O
the O
artist B-music_item
ruby B-artist
to O
my B-playlist_owner
digging B-playlist
now I-playlist
list O

add O
a O
track B-music_item
from O
the B-artist
edge I-artist
to O
my B-playlist_owner
funk B-playlist
soul I-playlist
disco I-playlist
playlist O

can O
i O
put O
indocumentado B-entity_name
onto O
my B-playlist_owner
folk B-playlist
music I-playlist
at I-playlist
the I-playlist
gaslight I-playlist
café I-playlist
playlist O

add O
the O
current O
tune B-music_item
to O
my B-playlist_owner
evening B-playlist
groove I-playlist
list O

add O
runaljod B-entity_name
gap I-entity_name
var I-entity_name
ginnunga I-entity_name
to O
ashlee B-playlist_owner
s I-playlist_owner
playlist O
titled O
forever B-playlist
country I-playlist

put O
the O
love B-playlist
hurts I-playlist
track B-music_item
onto O
carmen B-playlist_owner
s I-playlist_owner
playlist O

can O
you O
please O
put O
this O
track B-music_item
onto O
my B-playlist_owner
todo B-playlist
novedades I-playlist
playlist O

add O
the O
tune B-music_item
to O
my B-playlist_owner
jazz B-playlist
vibes I-playlist
playlist O

add O
the O
beatles O
tune B-music_item
yesterday O
to O
my B-playlist_owner
playlist O
the B-playlist
southern I-playlist
highway I-playlist
chronicles I-playlist

this O
tune B-music_item
should O
go O
on O
my B-playlist_owner
coffee B-playlist
table I-playlist
jazz I-playlist
playlist O

add O
caleigh B-artist
peters I-artist
to O
my B-playlist_owner
women B-playlist
of I-playlist
country I-playlist
list O

add O
hotter B-entity_name
than I-entity_name
hell I-entity_name
to O
my B-playlist_owner
fiesta B-playlist
playlist O

add O
tune B-music_item
to O
my B-playlist_owner
para B-playlist
comer I-playlist

add O
nico B-artist
to O
my B-playlist_owner
rock B-playlist
to I-playlist
work I-playlist

add O
the O
artist B-music_item
to O
my B-playlist_owner
metal B-playlist
playlist O

add O
this O
album B-music_item
to O
sheri B-playlist_owner
s I-playlist_owner
playlist O
journey B-playlist

add O
als B-entity_name
het I-entity_name
om I-entity_name
de I-entity_name
liefde I-entity_name
gaat I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
handel I-playlist
playlist O

add O
this O
tune B-music_item
to O
my B-playlist_owner
post B-playlist
metal I-playlist
playlist O

add O
a O
song B-music_item
by O
takahito B-artist
eguchi I-artist
to O
my B-playlist_owner
guest B-playlist
list I-playlist
polygon I-playlist
playlist O

add O
eric B-artist
johnson I-artist
song B-music_item
to O
my B-playlist_owner
the B-playlist
refugee I-playlist
playlist I-playlist
playlist O

add O
maria B-entity_name
magdalena I-entity_name
to O
my B-playlist_owner
poetry B-playlist
in I-playlist
their I-playlist
own I-playlist
voices I-playlist
playlist O

add O
a O
jacob B-artist
miller I-artist
album B-music_item
to O
my B-playlist_owner
hardcore B-playlist
punk I-playlist
playlist O

put O
hugh B-artist
masekela I-artist
onto O
my B-playlist_owner
music B-playlist
on I-playlist
ibiza I-playlist
guest I-playlist
list I-playlist
playlist O

i O
d O
like O
to O
add O
this O
album B-music_item
to O
my B-playlist_owner
siesta B-playlist
playlist O

add O
this O
song B-music_item
to O
my B-playlist_owner
workout B-playlist
playlist O

add O
an O
artist B-music_item
to O
my B-playlist_owner
playlist O
domingo B-playlist
indie I-playlist

add O
the O
tune B-music_item
to O
my B-playlist_owner
viajes B-playlist
playlist O

i O
want O
do B-entity_name
you I-entity_name
want I-entity_name
to I-entity_name
build I-entity_name
a I-entity_name
snowman I-entity_name
in O
my B-playlist_owner
hip B-playlist
hop I-playlist
2017 I-playlist
new I-playlist
school I-playlist
playlist O

add O
artist B-music_item
to O
my B-playlist_owner
playlist O
primavera B-playlist
sound I-playlist
2016 I-playlist
barcelona I-playlist

i O
want O
another O
artist B-music_item
on O
my B-playlist_owner
atmospheric B-playlist
black I-playlist
metal I-playlist
playlist O

can O
50 B-entity_name
minute I-entity_name
technicolor I-entity_name
dream I-entity_name
be O
added O
to O
meredith B-playlist_owner
s I-playlist_owner
cierra B-playlist
la I-playlist
puerta I-playlist
playlist O

add O
a O
track B-music_item
to O
my B-playlist_owner
dinner B-playlist
playlist O

add O
the O
artist B-music_item
joseph B-artist
meyer I-artist
to O
my B-playlist_owner
mad B-playlist
cool I-playlist
festival I-playlist
2017 I-playlist
playlist O

please O
add O
faccetta B-entity_name
nera I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
handel I-playlist
playlist O

add O
candlelight B-entity_name
to O
my B-playlist_owner
house B-playlist
afterwork I-playlist
playlist O

i O
want O
to O
put O
this O
track B-music_item
on O
diann B-playlist_owner
s I-playlist_owner
just B-playlist
smile I-playlist
playlist O

add O
feel B-entity_name
the I-entity_name
passion I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
kudai I-playlist
playlist O

add O
the O
artist B-music_item
to O
my B-playlist_owner
spooning B-playlist
playlist O

add O
this O
album B-music_item
to O
my B-playlist_owner
throwback B-playlist
thursday I-playlist
playlist O

add O
steve B-artist
albini I-artist
album B-music_item
to O
my B-playlist_owner
psychedelic B-playlist
rock I-playlist
playlist O

add O
shot B-entity_name
forth I-entity_name
self I-entity_name
living I-entity_name
to O
my B-playlist_owner
folk B-playlist
metal I-playlist
warriors I-playlist
playlist O

can O
you O
add O
something O
by O
wynter B-artist
gordon I-artist
to O
my B-playlist_owner
soul B-playlist
lounge I-playlist
playlist O

add O
artist B-music_item
to O
my B-playlist_owner
trance B-playlist
life I-playlist
group O

i O
want O
to O
listen O
to O
seventies B-year
music O

play O
music O
from O
2014 B-year

play O
2011 B-year
music O

play O
music O
from O
2015 B-year

play O
music O
from O
1950 B-year

can O
you O
play O
some O
eighties B-year
music O

play O
music O
from O
1960 B-year

let O
s O
hear O
some O
tunes O
from O
the O
thirties B-year

play O
eighties B-year
music O

i O
want O
to O
hear O
some O
twenties B-year
music O
from O
billy B-artist
sheehan I-artist

play O
some O
sonu B-artist
niigaam I-artist
from O
the O
fifties B-year

play O
fifties B-year
music O
by O
ahmed B-artist
abdul I-artist
malik I-artist

play O
music O
from O
2002 B-year

play O
fifties B-year
music O

play O
music O
from O
1999 B-year

listen O
to O
music O
from O
1975 B-year

play O
eddie B-artist
meduza I-artist
from O
the O
thirties B-year

play O
music O
from O
the O
sixties B-year

play O
1958 B-year
music O

play O
music O
from O
2016 B-year

play O
something O
from O
1981 B-year

play O
dj B-artist
kentaro I-artist
from O
the O
year O
1994 B-year

i O
wish O
to O
enjoy O
some O
fifties B-year
music O
by O
johnny B-artist
paycheck I-artist

play O
some O
songs O
from O
the O
fifties B-year

play O
music O
from O
1958 B-year

play O
some O
king B-artist
tubby I-artist
from O
the O
eighties B-year

i O
want O
to O
hear O
nokko B-artist
s O
songs O
from O
the O
twenties B-year

play O
something O
from O
1985 B-year
by O
billy B-artist
werner I-artist

play O
some O
1999 B-year
symphony B-music_item
from O
minami B-artist
takahashi I-artist

can O
i O
hear O
tod B-artist
ashley I-artist
music O
from O
1953 B-year

i O
want O
to O
listen O
to O
nineties B-year
chant B-music_item
songs O

play O
the O
last B-sort
soundtrack B-music_item
from O
the O
sixties B-year

listen O
to O
tei B-artist
movement B-music_item
from O
most B-sort
popular I-sort
eighties B-year
music O

play O
music O
from O
the O
artist O
taktloss B-artist
from O
the O
record B-music_item
in O
the O
thirties B-year

play O
a O
record B-music_item
from O
the O
seventies B-year

play O
a O
symphony B-music_item
that O
is O
good B-sort
from O
2000 B-year

play O
me O
a O
song B-music_item
from O
the O
fourties B-year
movement B-music_item

play O
a O
wendy B-artist
carlos I-artist
song B-music_item
from O
2002 B-year

please O
play O
some O
music O
from O
the O
seventies B-year
movement B-music_item

play O
1981 B-year
tunes O
by O
jiles B-artist
perry I-artist
richardson I-artist
on O
lastfm B-service
for O
theme B-music_item
music O

play O
paula B-artist
campbell I-artist
music O
from O
1993 B-year

play O
a O
song B-music_item
by O
alasdair B-artist
roberts I-artist
from O
1996 B-year

will O
you O
play O
me O
the O
most B-sort
popular I-sort
sound B-music_item
track I-music_item
from O
2006 B-year

please O
play O
some O
fourties B-year
music O
on O
spotify B-service

play O
thirties B-year
symphony B-music_item
music O
from O
nigga B-artist
on O
iheart B-service

play O
lastfm B-service
tunes O
from O
1997 B-year

play O
symphony B-music_item
music O
from O
1991 B-year
by O
irvin B-artist
mayfield I-artist

play O
1960 B-year
chant B-music_item
music O
by O
hermann B-artist
baumann I-artist

play O
fourties B-year
tunes O
by O
bryan B-artist
webb I-artist
on O
groove B-service
shark I-service

play O
giovanni B-artist
battista I-artist
guadagnini I-artist
s O
1982 B-year
tracks B-playlist

play O
some O
songs O
from O
the O
fourties B-year
by O
yoshiki B-artist
fukuyama I-artist

play O
music O
from O
1964 B-year

play O
a O
2004 B-year
song B-music_item
by O
eliel B-artist
on O
zvooq B-service

i O
would O
like O
to O
hear O
music O
from O
1993 B-year

play O
some O
1970 B-year
antero B-artist
manninen I-artist
on O
zvooq B-service

play O
sixties B-year
theme B-music_item
music O

give O
me O
an O
album B-music_item
from O
1972 B-year
to O
listen O
to O

play O
wendy B-artist
james I-artist
from O
the O
fifties B-year

please O
play O
me O
a O
top B-sort
nineties B-year
theme B-music_item
song I-music_item

play O
a O
rock B-genre
track B-music_item
from O
1984 B-year

play O
some O
erin B-artist
harkes I-artist
from O
the O
fifties B-year
on O
lastfm B-service

play O
fourties B-year
tunes O

play O
shinya B-artist
yamada I-artist
music O
from O
1962 B-year
on O
groove B-service
shark I-service

play O
music O
from O
the O
seventies B-year

play O
1981 B-year
music O
on O
last B-service
fm I-service

play O
laura B-artist
love I-artist
songs O
from O
1959 B-year

i O
want O
to O
hear O
some O
twenties B-year
music O
off O
of O
deezer B-service

play O
some O
music O
from O
1962 B-year
from O
adeyto B-artist

use O
netflix B-service
to O
play O
a O
record B-music_item
by O
emil B-artist
gilels I-artist
from O
year O
2015 B-year

play O
greg B-artist
raposo I-artist
songs O
from O
the O
thirties B-year

play O
a O
tune B-music_item
by O
syreeta B-artist
wright I-artist
from O
twenties B-year
from O
the O
top B-sort

play O
fifties B-year
music O

play O
thirties B-year
concerto B-music_item
music O
on O
google B-service
music I-service

play O
some O
iris B-artist
dement I-artist
s O
theme B-music_item
based O
2015 B-year
music O
on O
lastfm B-service

play O
a O
song B-music_item
by O
david B-artist
silveria I-artist
from O
2002 B-year
on O
zvooq B-service

play O
a O
song B-music_item
from O
the O
seventies B-year
by O
pepe B-artist
aguilar I-artist

play O
2004 B-year
guy B-artist
sebastian I-artist
on O
itunes B-service

play O
me O
a O
1958 B-year
adam B-artist
yauch I-artist
concerto B-music_item
on O
groove B-service
shark I-service

play O
a O
2011 B-year
ballad B-music_item
by O
evil B-artist
jared I-artist
hasselhoff I-artist
on O
lastfm B-service

play O
some O
antony B-artist
harding I-artist
songs O
from O
the O
eighties B-year

play O
music O
year O
2016 B-year
by O
artist O
michiru B-artist
yamane I-artist

play O
some O
1954 B-year
songs O
on O
my O
itunes B-service

play O
me O
music O
from O
the O
twenties B-year
on O
itunes B-service

play O
the O
best B-sort
songs O
of O
2016 B-year

play O
sound B-music_item
track I-music_item
music O
from O
the O
twenties B-year

i O
need O
to O
hear O
a O
thirties B-year
soundtrack B-music_item

i O
want O
to O
hear O
jimmy B-artist
james I-artist
from O
the O
thirties B-year
play O
a O
song B-music_item
on O
groove B-service
shark I-service

play O
sixties B-year
on O
spotify B-service

can O
you O
play O
a O
sound B-music_item
track I-music_item
from O
1963 B-year

play O
the O
top-ten B-sort
chant B-music_item
doda B-artist
songs O
from O
the O
twenties B-year

play O
a O
theme B-music_item
from O
1985 B-year
by O
patrick B-artist
cowley I-artist

can O
you O
play O
a O
melody B-music_item
from O
the O
fifties B-year
on O
last B-service
fm I-service

play O
any O
sixties B-year
song B-music_item

play O
a O
record B-music_item
from O
2010 B-year

i O
want O
to O
hear O
somi B-artist
s O
songs O
from O
the O
twenties B-year

can O
you O
play O
that O
last B-sort
ep B-music_item
from O
the O
twenties B-year

make O
and O
play O
a O
new B-sort
playlis O
with O
the O
theme B-music_item
songs O
released O
in O
1968 B-year

i O
m O
looking O
for O
the O
last B-sort
track B-music_item
by O
fei B-artist
yu I-artist
ching I-artist
from O
the O
fourties B-year

i O
wish O
to O
listen O
to O
eighties B-year
music O
by O
mike B-artist
dean I-artist

play O
a O
2007 B-year
track B-music_item
from O
adam B-artist
jones I-artist

i O
d O
like O
to O
go O
to O
the O
popular B-sort
bistro B-restaurant_type
in O
oh B-state

book O
me O
seats O
for O
6 B-party_size_number
at O
the O
best B-sort
brasserie B-restaurant_type
that O
serves O
marche B-cuisine
neighboring B-spatial_relation
my B-poi
hostel I-poi

i O
need O
a O
table O
at O
a O
highly B-sort
rated I-sort
diner B-restaurant_type

book O
a O
table O
for O
1 B-party_size_number
person O
at O
a O
popular B-sort
brasserie B-restaurant_type
in O
jansen B-city
that O
serves O
english B-cuisine
food O

i O
want O
top-rated B-sort
veneto B-cuisine
cuisine O
at O
a O
restaurant B-restaurant_type
in O
antietam B-city
for O
2 B-party_size_number

book O
a O
highly B-sort
rated I-sort
fast B-restaurant_type
food I-restaurant_type
restaurant I-restaurant_type
in O
falmouth B-city

book O
me O
top-rated B-sort
restaurant B-restaurant_type
for O
9 B-party_size_number
members O
for O
midnight B-timeRange
at O
fair B-city
bluff I-city
ri B-state

book O
midday B-timeRange
at O
a O
faraway B-spatial_relation
cuban B-cuisine
place O
for O
five B-party_size_number
at O
a O
top-rated B-sort
bakery B-restaurant_type
in O
grainola B-city

book O
a O
restaurant B-restaurant_type
for O
2 B-party_size_number
at O
top-rated B-sort
hoonah B-city
tn B-state

i O
need O
a O
top-rated B-sort
gastropub B-restaurant_type
for O
5 B-party_size_number
in O
dc B-state
in O
conshohocken B-city
on O
jul B-timeRange
the I-timeRange
18th I-timeRange
2024 I-timeRange

book O
a O
popular B-sort
joint B-restaurant_type
in O
ocean B-city
gate I-city
for O
seven B-party_size_number
people O
at O
elevenses B-timeRange

book O
a O
best B-sort
steakhouse B-restaurant_type
for O
2 B-party_size_number
in O
montserrat B-country
on O
79 B-timeRange
days I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange

i O
d O
like O
to O
eat O
at O
a O
highly B-sort
rated I-sort
swiss B-cuisine
restaurant B-restaurant_type
in O
irma B-city
at O
two B-timeRange
pm I-timeRange

book O
a O
highly B-sort
rated I-sort
gastropub B-restaurant_type
that O
has O
a O
pastelaria B-cuisine
in O
blue B-city
anchor I-city
md B-state
in B-timeRange
55 I-timeRange
weeks I-timeRange
for O
my B-party_size_description
brother I-party_size_description
in I-party_size_description
law I-party_size_description
and I-party_size_description
i I-party_size_description

my B-party_size_description
father I-party_size_description
in I-party_size_description
law I-party_size_description
and I-party_size_description
i I-party_size_description
would O
like O
to O
go O
to O
a O
highly B-sort
rated I-sort
bar B-restaurant_type

play O
new B-sort
teo B-artist
macero I-artist

play O
the O
top B-sort
of O
emil B-artist
de I-artist
cou I-artist

i O
want O
to O
hear O
the O
top B-sort
tim B-artist
madison I-artist

book O
a O
highly B-sort
rated I-sort
restaurant B-restaurant_type
in O
central B-country
african I-country
republic I-country
for O
5 B-party_size_number
people O
on O
sep B-timeRange
the I-timeRange
second I-timeRange

book O
me O
a O
bar B-restaurant_type
that O
s O
highly B-sort
rated I-sort
for O
georgia B-party_size_description
and I-party_size_description
i I-party_size_description
in O
burkina B-country

i O
d O
like O
a O
table O
at O
a O
top-rated B-sort
tea B-restaurant_type
house I-restaurant_type
with O
javanese B-cuisine
cuisine O
this B-timeRange
week I-timeRange
in O
germany B-country

book O
me O
a O
top-rated B-sort
pub B-restaurant_type

book O
a O
spot O
for O
nona B-party_size_description
gray I-party_size_description
myrtle I-party_size_description
and I-party_size_description
alison I-party_size_description
at O
a O
top-rated B-sort
brasserie B-restaurant_type
that O
is O
distant B-spatial_relation
from O
wilson B-poi
av I-poi
on O
nov B-timeRange
the I-timeRange
4th I-timeRange
2030 I-timeRange
that O
serves O
ouzeri B-cuisine

play O
anweshaa B-artist
by O
the O
new B-sort
first O

play O
music O
by O
fidel B-artist
nadal I-artist
sorted O
by O
newest B-sort

book O
a O
table O
1 B-timeRange
year I-timeRange
from I-timeRange
now I-timeRange
for O
corinne B-party_size_description
tisha I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
restaurant B-restaurant_type
in O
guernsey B-country
that O
is O
top-rated B-sort

play O
the O
newest B-sort
stuff O
by O
blowfly B-artist

book O
me O
seating O
at O
a O
popular B-sort
joint B-restaurant_type
for O
sep B-timeRange
the I-timeRange
10th I-timeRange

please O
play O
good B-sort
music O
by O
will B-artist
oldham I-artist

play O
the O
best B-sort
vanessa B-artist
peters I-artist
songs O

book O
a O
table O
at O
a O
top-rated B-sort
brasserie B-restaurant_type
in O
pakistan B-country

i O
d O
like O
to O
eat O
at O
a O
top-rated B-sort
restaurant B-restaurant_type
in O
turks B-country
and I-country
caicos I-country
islands I-country

book O
a O
spot O
at O
the O
best B-sort
steakhouse B-restaurant_type
in O
florida B-state

book O
a O
highly B-sort
rated I-sort
place O
for O
8 B-party_size_number
at O
a O
restaurant B-restaurant_type

play O
the O
new B-sort
music O
from O
wilko B-artist
johnson I-artist

i O
need O
a O
table O
for O
10 B-party_size_number
at O
the O
best B-sort
gastropub B-restaurant_type

play O
the O
top-20 B-sort
music O
by O
merz B-artist

please O
anything O
good B-sort
by O
chieko B-artist
ochi I-artist

book O
a O
highly B-sort
rated I-sort
northeast B-cuisine
indian I-cuisine
brasserie B-restaurant_type
in O
kenova B-city
for O
nannie B-party_size_description
and I-party_size_description
i I-party_size_description
at O
14:41 B-timeRange

book O
a O
table O
for O
6 B-party_size_number
at O
a O
top-rated B-sort
restaurant B-restaurant_type
in O
north B-city
amityville I-city
ma B-state
that O
serves O
south B-cuisine
tyrolean I-cuisine
food O

play O
andrew B-artist
lloyd I-artist
webber I-artist
s O
good B-sort
tune B-music_item
on O
zvooq B-service

play O
the O
greatest B-sort
record B-music_item
by O
leroi B-artist
moore I-artist

i O
want O
to O
hear O
the O
newest B-sort
music O
from O
the B-artist
railway I-artist
children I-artist

book O
a O
table O
at O
the O
top-rated B-sort
taverna B-restaurant_type
in O
north B-country
korea I-country

i O
really O
need O
a O
top-rated B-sort
restaurant B-restaurant_type
that O
can O
seat O
3 B-party_size_number
people O
in B-timeRange
1 I-timeRange
minute I-timeRange
from O
now O

play O
deezer B-service
top B-sort
20 I-sort
by O
natasja B-artist

play O
me O
a O
top B-sort
20 I-sort
chant B-music_item
by O
ruwanga B-artist
samath I-artist
on O
lastfm B-service

can O
i O
hear O
the O
latest B-sort
music O
from O
bahar B-artist
kizil I-artist

play O
a O
top B-sort
fifty I-sort
ballad B-music_item
by O
linda B-artist
strawberry I-artist
on O
google B-service
music I-service

i O
d O
like O
to O
eat O
at O
a O
top-rated B-sort
place O
on O
nov B-timeRange
the I-timeRange
twenty-sixth I-timeRange
in O
the O
food B-restaurant_type
court I-restaurant_type
i O
need O
reservations O
for O
7 B-party_size_number
in O
the O
city O
of O
kane B-city
or O
somewhere O
near B-spatial_relation
there O

i O
want O
to O
book O
a O
popular B-sort
tyrolean B-cuisine
steakhouse B-restaurant_type
in O
madison B-city
park I-city
wa B-state
in B-timeRange
1 I-timeRange
hour I-timeRange
nine I-timeRange
minutes I-timeRange
and I-timeRange
one I-timeRange
second I-timeRange

i O
want O
to O
go O
to O
the O
popular B-sort
pub B-restaurant_type
at O
ten B-timeRange
pm I-timeRange

i O
want O
to O
hear O
something O
from O
the O
top-fifty B-sort
by O
jose B-artist
pasillas I-artist

play O
music O
by O
sha B-artist
money I-artist
xl I-artist
sort O
by O
good B-sort

play O
the O
top B-sort
five I-sort
songs O
from O
robert B-artist
lockwood I-artist
junior I-artist

play O
the O
top-twenty B-sort
from O
alexander B-artist
braginsky I-artist

book O
a O
reservation O
for O
a O
popular B-sort
bakery B-restaurant_type
in O
patetown B-city

play O
a O
popular B-sort
ballad B-music_item
by O
amanda B-artist

play O
the O
most B-sort
popular I-sort
song B-music_item
from O
chae B-artist
yeon I-artist
off O
of O
spotify B-service

i O
require O
a O
reservation O
for O
one B-party_size_number
at O
the O
most O
highly B-sort
rated I-sort
restaurant B-restaurant_type
in O
uzbekistan B-country

play O
top B-sort
20 I-sort
from O
frank B-artist
farian I-artist

book O
a O
spot O
at O
the O
best B-sort
brasserie B-restaurant_type
near B-spatial_relation
saudi B-country
arabia I-country

book O
a O
spot O
at O
a O
highly B-sort
rated I-sort
tea B-restaurant_type
house I-restaurant_type
in O
manadonese B-cuisine

play O
some O
popular B-sort
bryan B-artist
gregory I-artist
songs O

play O
a O
popular B-sort
song B-music_item
by O
willie B-artist
dixon I-artist
on O
groove B-service
shark I-service

play O
melody B-music_item
and O
sort O
the O
newest B-sort
in O
dj B-artist
format I-artist

play O
the O
greatest B-sort
music O
by O
phoebe B-artist
snow I-artist

play O
the O
most B-sort
popular I-sort
album B-music_item
on O
google B-service
music I-service
by O
sasu B-artist
ripatti I-artist

i O
want O
to O
hear O
any O
top B-sort
five I-sort
music O
from O
gene B-artist
autry I-artist

play O
the O
last B-sort
theme B-music_item
by O
behzad B-artist
mirkhani I-artist

play O
a O
popular B-sort
sound B-music_item
track I-music_item
by O
joe B-artist
pass I-artist
on O
itunes B-service

locate O
the O
best B-sort
pub B-restaurant_type
in O
apache B-city
junction I-city

i O
d O
like O
to O
hear O
nas B-artist
s O
greatest B-sort
ballad B-music_item

i O
need O
to O
make O
a O
reservation O
at O
a O
top-rated B-sort
moroccan B-cuisine
restaurant B-restaurant_type
in O
bone B-city
that O
is O
nearby B-spatial_relation
and O
can O
seat O
8 B-party_size_number

i O
m O
looking O
for O
the O
best B-sort
bistro B-restaurant_type
that O
serves O
mongolian B-cuisine
food O
that O
has O
room O
for O
two B-party_size_number
people O
in O
marshall B-country
islands I-country

i O
want O
to O
hear O
popular B-sort
music O
from O
martin B-artist
lopez I-artist

play O
the O
latest B-sort
thelma B-artist
aoyama I-artist

i O
would O
like O
to O
book O
the O
best B-sort
southeastern B-cuisine
brazilian I-cuisine
food B-restaurant_type
court I-restaurant_type

book O
a O
reservation O
for O
three B-party_size_number
at O
a O
top-rated B-sort
sicilian B-cuisine
restaurant B-restaurant_type
in O
portugal B-country

play O
the O
top B-sort
track B-music_item
by O
claudja B-artist
barry I-artist
on O
last B-service
fm I-service

play O
the O
best B-sort
bruce B-artist
ruffin I-artist
music O
on O
youtube B-service

i O
need O
a O
table O
booking O
for O
a O
highly B-sort
rated I-sort
sardinian B-cuisine
pub B-restaurant_type

book O
a O
highly B-sort
rated I-sort
restaurant B-restaurant_type

play O
the O
top B-sort
twenty I-sort
movement B-music_item
songs O
from O
roberto B-artist
valverde I-artist

make O
reservations O
for O
7 B-party_size_number
people O
at O
a O
top-rated B-sort
brazilian B-cuisine
pub B-restaurant_type
around B-spatial_relation
rockaway B-poi
park-beach I-poi
116th I-poi

play O
the O
top B-sort
10 I-sort
by O
sankha B-artist
chatterjee I-artist

book O
australian B-cuisine
food O
in O
armour B-city
for O
7 B-timeRange
pm I-timeRange
for O
four B-party_size_number
at O
a O
pub B-restaurant_type
best B-sort
rated I-sort
in O
ut B-state

book O
near B-spatial_relation
montana B-state
restaurant B-restaurant_type
serving O
sri B-cuisine
lankan I-cuisine
food O
for O
6 B-party_size_number
that O
is O
highly B-sort
rated I-sort
on O
tues B-timeRange

book O
me O
a O
table O
at O
the O
highly B-sort
rated I-sort
cafeteria B-restaurant_type
in O
federated B-state
states I-state
of I-state
micronesia I-state

play O
the O
most B-sort
popular I-sort
miles B-artist
jones I-artist
track B-music_item

let O
me O
use O
netflix B-service
to O
listen O
to O
the O
last B-sort
soundtrack B-music_item
from O
out B-artist
of I-artist
eden I-artist

play O
the O
latest B-sort
songs O
by O
larry B-artist
gatlin I-artist
on O
iheart B-service

i O
d O
like O
to O
get O
reservations O
at O
a O
top-rated B-sort
restaurant B-restaurant_type
in O
arkansas B-state

i O
d O
like O
to O
hear O
ami B-artist
suzuki I-artist
s O
latest B-sort
record B-music_item

play O
the O
most B-sort
popular I-sort
track B-music_item
from O
valery B-artist
alexandrovich I-artist
kipelov I-artist

play O
new B-sort
movement B-music_item
from O
mike B-artist
oldfield I-artist
on O
vimeo B-service

use O
deezer B-service
to O
play O
the O
last B-sort
song B-music_item
from O
lee B-artist
dorrian I-artist

play O
a O
new B-sort
soundtrack B-music_item
by O
benjamin B-artist
darvill I-artist
on O
groove B-service
shark I-service

play O
the O
greatest B-sort
adrian B-artist
kowanek I-artist
music O

play O
the O
top B-sort
twenty I-sort
tracks B-playlist
of O
ron B-artist
jarzombek I-artist

find O
fish B-movie_name
story I-movie_name

find O
a O
movie B-object_location_type
house I-object_location_type
showing O
cage B-movie_name
without I-movie_name
a I-movie_name
key I-movie_name

is O
happy B-movie_name
ghost I-movie_name
iii I-movie_name
at O
caribbean B-location_name
cinemas I-location_name

is O
live B-movie_name
from I-movie_name
sturgis I-movie_name
2006 I-movie_name
playing O
at O
four B-timeRange
o I-timeRange
clock I-timeRange
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

what O
is O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
that O
is O
playing O
moment B-movie_name
to I-movie_name
moment I-movie_name

where O
is O
the B-movie_name
chief I-movie_name
cook I-movie_name
playing O

is O
goodbye B-movie_name
mr I-movie_name
chips I-movie_name
showing O
twelve B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange

when O
is O
you B-movie_name
walk I-movie_name
so I-movie_name
softly I-movie_name
playing O
at O
kerasotes B-location_name
theatres I-location_name

what O
time O
is O
the B-movie_name
rocketeer I-movie_name
showing O

is O
the B-movie_name
missing I-movie_name
clerk I-movie_name
playing O

what O
time O
is O
cinema B-object_location_type
playing O
the B-movie_name
village I-movie_name
priest I-movie_name

is O
love B-movie_name
marilyn I-movie_name
playing O

when O
can O
i O
see O
journey B-movie_name
to I-movie_name
the I-movie_name
end I-movie_name
of I-movie_name
the I-movie_name
night I-movie_name

what O
s O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
showing O
harbour B-movie_name
beat I-movie_name

what O
amc B-location_name
theaters I-location_name
is O
the B-movie_name
red I-movie_name
dance I-movie_name
playing O
at O

what O
time O
will O
the O
movie B-object_location_type
house I-object_location_type
be O
showing O
on B-movie_name
the I-movie_name
beat I-movie_name

i O
d O
like O
to O
watch O
army B-movie_name
at O
wanda B-location_name
group I-location_name

find O
a B-movie_name
feather I-movie_name
in I-movie_name
her I-movie_name
hat I-movie_name
at O
magic B-location_name
johnson I-location_name
theatres I-location_name

when O
can O
i O
catch O
a O
screening O
of O
shivers B-movie_name
in I-movie_name
summer I-movie_name

find O
a O
movie B-object_location_type
theatre I-object_location_type
with O
rogues B-movie_name
and I-movie_name
romance I-movie_name
that O
is O
nearest B-spatial_relation

i O
d O
like O
to O
watch O
three B-movie_name
word I-movie_name
brand I-movie_name
at O
the O
cinema B-object_location_type

can O
i O
get O
the O
showtimes O
for O
the B-movie_name
man I-movie_name
who I-movie_name
could I-movie_name
talk I-movie_name
to I-movie_name
kids I-movie_name

what O
time O
does O
tie B-movie_name
a I-movie_name
yellow I-movie_name
ribbon I-movie_name
play O
at O
magic B-location_name
johnson I-location_name
theatres I-location_name

when O
is O
for B-movie_name
lovers I-movie_name
only I-movie_name
playing O

when O
is O
beyond B-movie_name
my I-movie_name
reach I-movie_name
scheduled O
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

i O
d O
like O
to O
watch O
glass B-movie_name
chin I-movie_name
at O
the O
movie B-object_location_type
house I-object_location_type
at O
17:32:30 B-timeRange

where O
is O
the O
closest B-spatial_relation
cinema B-object_location_type
playing O
good B-movie_name
night I-movie_name
good I-movie_name
morning I-movie_name

what O
s O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
night B-movie_name
in I-movie_name
may I-movie_name

what O
time O
is O
26 B-movie_name
years I-movie_name
diary I-movie_name
showing O
in O
the O
movie B-object_location_type
house I-object_location_type

find O
a O
cinema B-object_location_type
nearest B-spatial_relation
with O
sulle B-movie_name
sathya I-movie_name

what O
time O
is O
summer B-movie_name
school I-movie_name
playing O

what O
theater O
is O
showing O
from B-movie_name
paris I-movie_name
with I-movie_name
love I-movie_name
and O
when O

find O
good B-movie_name
night I-movie_name
and I-movie_name
good I-movie_name
luck I-movie_name
at O
a O
cinemark B-location_name
theatres I-location_name

what O
time O
will O
in B-movie_name
the I-movie_name
name I-movie_name
of I-movie_name
the I-movie_name
son I-movie_name
be O
playing O

when O
is O
longwave B-movie_name
going O
to O
be O
playing O

what O
are O
the O
showings O
for O
the B-movie_name
natural I-movie_name
history I-movie_name
of I-movie_name
parking I-movie_name
lots I-movie_name
movie B-object_location_type
house I-object_location_type

when O
is O
purple B-movie_name
heart I-movie_name
scheduled O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
time O
is O
balkan B-movie_name
rhapsodies: I-movie_name
78 I-movie_name
measures I-movie_name
of I-movie_name
war I-movie_name
playing O
at O
malco B-location_name
theatres I-location_name

what O
time O
is O
roy B-movie_name
colt I-movie_name
& I-movie_name
winchester I-movie_name
jack I-movie_name
playing O
at O
movie B-object_location_type
house I-object_location_type

which O
cinema B-object_location_type
can O
i O
go O
to O
to O
see O
lilly B-movie_name
the I-movie_name
witch: I-movie_name
the I-movie_name
dragon I-movie_name
and I-movie_name
the I-movie_name
magic I-movie_name
book I-movie_name

show O
me O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
he B-movie_name
won I-movie_name
a I-movie_name
ranch I-movie_name

what O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
playing O
kate B-movie_name
y I-movie_name
leopold I-movie_name

find O
the O
schedule B-object_type
for O
across B-movie_name
the I-movie_name
line I-movie_name
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

is O
storm B-movie_name
warning I-movie_name
playing O

show O
me O
dombey B-movie_name
and I-movie_name
son I-movie_name
movies B-movie_type

give O
me O
the O
showtimes O
for O
the B-movie_name
rum I-movie_name
diary I-movie_name
at O
mjr B-location_name
theatres I-location_name
at O
meal B-timeRange
time O

what O
time O
is O
the B-movie_name
mailman I-movie_name
playing O

what O
time O
is O
the O
wanda B-location_name
group I-location_name
playing O
the B-movie_name
honor I-movie_name
of I-movie_name
an I-movie_name
outlaw I-movie_name

what O
time O
will O
the B-movie_name
age I-movie_name
of I-movie_name
success I-movie_name
be O
showing O

can O
you O
let O
me O
know O
where O
i O
can O
watch O
the B-movie_name
nest I-movie_name

what O
time O
is O
i B-movie_name
know I-movie_name
that I-movie_name
you I-movie_name
know I-movie_name
that I-movie_name
i I-movie_name
know I-movie_name
lpaying O

is O
holy B-movie_name
matrimony I-movie_name
playing O
at O
national B-location_name
amusements I-location_name

can O
you O
let O
me O
know O
when O
talk B-movie_name
of I-movie_name
the I-movie_name
devil I-movie_name
is O
playing O
at O
the O
movie B-object_location_type
theatre I-object_location_type

give O
me O
the O
showtimes O
for O
down B-movie_name
where I-movie_name
the I-movie_name
buffalo I-movie_name
go I-movie_name
at O
amco B-location_name
entertainment I-location_name

is O
a B-movie_name
charming I-movie_name
man I-movie_name
playing O
at O
lunch B-timeRange
time O

when O
is O
lake B-movie_name
city I-movie_name
playing O
at O
dipson B-location_name
theatres I-location_name

what O
time O
is O
the B-movie_name
dungeonmaster I-movie_name
playing O
at O
amc B-location_name
theaters I-location_name

is O
millions B-movie_name
in I-movie_name
the I-movie_name
air I-movie_name
playing O
at O
the O
cinema B-object_location_type

is O
warhead B-movie_name
playing O
at O
amc B-location_name
theaters I-location_name

what O
time O
is O
crawlspace B-movie_name
playing O
at O
the O
caribbean B-location_name
cinemas I-location_name

what O
time O
is O
the B-movie_name
corner I-movie_name
playing O

can O
i O
get O
the O
showtimes O
for O
the B-movie_name
kitchen I-movie_name
toto I-movie_name
at O
cineplex B-location_name
odeon I-location_name
corporation I-location_name

find O
time O
for O
hendthighelbedi B-movie_name
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

find O
endless B-movie_name
horizons I-movie_name

find O
me O
a O
showing O
of O
the B-movie_name
vanquished I-movie_name
that O
starts O
nine B-timeRange
hours I-timeRange
and I-timeRange
1 I-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

find O
the O
schedule B-object_type
for O
the B-movie_name
nightmare I-movie_name
six B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

find O
partners B-movie_name
in I-movie_name
action I-movie_name
at O
dickinson B-location_name
theatres I-location_name

what O
time O
is O
the B-movie_name
burning I-movie_name
season I-movie_name
playing O

what O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
playing O
the B-movie_name
collaborators I-movie_name

when O
can O
i O
watch O
alice: B-movie_name
a I-movie_name
true I-movie_name
story I-movie_name
at O
amc B-location_name
theatres I-location_name

where O
can O
i O
see O
the B-movie_name
somme I-movie_name
starting O
at O
16:01:04 B-timeRange

is O
the B-movie_name
clowns I-movie_name
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

is O
the B-movie_name
mystery I-movie_name
of I-movie_name
betty I-movie_name
bonn I-movie_name
playing O
at O
twelve B-timeRange
a I-timeRange
m I-timeRange
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
time O
is O
living B-movie_name
is I-movie_name
easy I-movie_name
with I-movie_name
eyes I-movie_name
closed I-movie_name
playing O

tell O
me O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
playing O
black B-movie_name
rage I-movie_name

find O
invisible B-movie_name
child I-movie_name
at O
southern B-location_name
theatres I-location_name

find O
a O
movie B-object_location_type
house I-object_location_type
for O
kickboxer B-movie_name
5 I-movie_name
– I-movie_name
redemption I-movie_name

showtimes O
for O
butterfly B-movie_name
on I-movie_name
a I-movie_name
wheel I-movie_name

when O
is O
sea B-movie_name
of I-movie_name
fear I-movie_name
being O
shown O
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

i O
want O
to O
see O
love B-movie_name
speed I-movie_name
and I-movie_name
thrills I-movie_name
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

is O
tomorrow B-movie_name
at I-movie_name
dawn I-movie_name
at O
harkins B-location_name
theatres I-location_name

is O
green B-movie_name
grass I-movie_name
widows I-movie_name
playing O
at O
the O
cinema B-object_location_type

where O
and O
at O
what O
time O
can O
i O
see O
paragraphe B-movie_name
78 I-movie_name

what O
movie B-object_location_type
theatre I-object_location_type
is O
playing O
the B-movie_name
missing I-movie_name
picture I-movie_name

find O
a O
movie B-object_location_type
theatre I-object_location_type
with O
beware B-movie_name
of I-movie_name
bachelors I-movie_name

i O
want O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
with O
the B-movie_name
debtors I-movie_name

what O
s O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
the B-movie_name
legend I-movie_name
of I-movie_name
ben I-movie_name
hall I-movie_name

when O
is O
good B-movie_name
will I-movie_name
evil I-movie_name
playing O
at O
loews B-location_name
cineplex I-location_name
entertainment I-location_name

is O
fighting B-movie_name
with I-movie_name
buffalo I-movie_name
bill I-movie_name
playing O
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

find O
the O
schedule B-object_type
for O
screen B-movie_name
souvenirs I-movie_name
at O
cinemark B-location_name
theatres I-location_name

what O
time O
is O
utamaro B-movie_name
and I-movie_name
his I-movie_name
five I-movie_name
women I-movie_name
showing O
at O
alamo B-location_name
drafthouse I-location_name
cinema I-location_name

what O
time O
is O
soul B-movie_name
surfer I-movie_name
playing O

there O
can O
i O
find O
the B-movie_name
beggar I-movie_name
maid I-movie_name
playing O

what O
time O
is O
the B-movie_name
count I-movie_name
playing O

where O
can O
i O
watch O
wartime B-movie_name
romance I-movie_name
in O
the O
morning B-timeRange

what O
is O
the O
movie O
schedule B-object_type
for O
train B-movie_name

where O
is O
the O
closest B-spatial_relation
cinema B-object_location_type
playing O
soapsuds B-movie_name
and I-movie_name
sapheads I-movie_name

what O
time O
is O
american B-movie_name
gun I-movie_name
playing O

i O
d O
like O
to O
watch O
sherlock B-movie_name
holmes I-movie_name
à I-movie_name
new I-movie_name
york I-movie_name
at O
kb B-location_name
theatres I-location_name

find O
the B-movie_name
good I-movie_name
girl I-movie_name
at O
a O
movie B-object_location_type
house I-object_location_type

book O
a O
spot O
for O
3 B-party_size_number
in O
mt B-state

book O
a O
restaurant B-restaurant_type
for O
eight B-party_size_number
people O
in B-timeRange
six I-timeRange
years I-timeRange

book O
a O
brasserie B-restaurant_type
for O
one B-party_size_number

i O
d O
like O
to O
go O
to O
the O
venetian B-restaurant_name
theatre I-restaurant_name
in O
gabon B-country
party O
of O
seven B-party_size_number

book O
a O
tea B-timeRange
place O
at O
seven B-party_size_number

i O
need O
a O
reservation O
for O
6 B-timeRange
pm I-timeRange
with O
a O
party O
of O
10 B-party_size_number
at O
sand B-city
lake I-city

book O
me O
a O
table O
for O
seven B-party_size_number
people O
at O
a O
bar B-restaurant_type
with O
a O
pool B-facility

make O
a O
reservation O
for O
9 B-party_size_number
at O
a O
brasserie B-restaurant_type
with O
parking B-facility

i O
need O
seating O
at O
floating B-restaurant_name
restaurant I-restaurant_name
in O
tennessee B-state
for O
a O
group O
of O
9 B-party_size_number

i O
need O
a O
reservation O
for O
four B-party_size_number
this B-timeRange
year I-timeRange
at O
a O
restaurant B-restaurant_type

book O
a O
spot O
for O
1 B-party_size_number
at O
a O
south B-cuisine
american I-cuisine
restaurant B-restaurant_type

book O
a O
spot O
for O
4 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
shambaugh B-city
md B-state

book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
in O
milladore B-city
for O
6 B-party_size_number
people O

book O
a O
restaurant B-restaurant_type
for O
2 B-party_size_number
at O
a O
cafe B-restaurant_type
that O
i O
can O
get O
a O
croissant B-served_dish
at O

book O
the B-restaurant_name
mustard I-restaurant_name
seed I-restaurant_name
in O
turks B-country
and I-country
caicos I-country
islands I-country
for O
9 B-party_size_number
people O

book O
in B-poi
town I-poi
for O
3 B-party_size_number
at O
a O
restaurant B-restaurant_type
outdoor B-facility
that O
is O
not B-spatial_relation
far I-spatial_relation

i O
want O
to O
book O
a O
far B-spatial_relation
brasserie B-restaurant_type
that O
serves O
minestrone B-served_dish
in O
pa B-state
for O
a O
party O
of O
9 B-party_size_number
in O
15 B-timeRange
minutes I-timeRange

find O
a O
reservation O
at O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type
nearby B-spatial_relation
sc B-state
for O
a O
party O
of O
ten B-party_size_number

book O
a O
restaurant B-restaurant_type
for O
7 B-party_size_number
people O

i O
need O
a O
reservation O
for O
four B-party_size_number
at O
a O
bar B-restaurant_type

book O
the O
atomic B-restaurant_name
cafe I-restaurant_name
for O
ten B-party_size_number
people O

i O
want O
a O
restaurant B-restaurant_type
in O
idaho B-state
for O
2 B-party_size_number
of O
us O

book O
me O
a O
table O
for O
two B-party_size_number
in O
oakes B-city

book O
reservations O
at O
james B-restaurant_name
d I-restaurant_name
conrey I-restaurant_name
house I-restaurant_name
at O
1 B-timeRange
pm I-timeRange
for O
a O
party O
of O
nine B-party_size_number

i O
want O
a O
table O
to O
seat O
10 B-party_size_number
at O
a O
close-by B-spatial_relation
to O
ottumwa B-city
that O
serves O
osteria B-restaurant_type
and O
ranch B-served_dish
dressing I-served_dish

book O
a O
table O
for O
ten B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
that O
serves O
noodle B-served_dish

i O
need O
a O
reservation O
for O
chapter B-restaurant_name
one I-restaurant_name
in O
west B-city
odessa I-city
for O
a O
party O
of O
one B-party_size_number

reserve O
me O
a O
table O
for O
10 B-party_size_number
at O
a O
mt B-state
cafe B-restaurant_name
for O
breakfast B-timeRange

need O
a O
table O
at O
a O
restaurant B-restaurant_type
serving O
foie B-served_dish
gras I-served_dish
on O
halloween B-timeRange
for O
two B-party_size_number
at O
northern B-state
mariana I-state
islands I-state

2 B-party_size_number
of O
us O
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
that O
serves O
meatballs B-served_dish
in O
vt B-state

book O
a O
table O
for O
tomorrow B-timeRange
for O
five B-party_size_number
people O

book O
a O
table O
for O
four B-party_size_number
in O
orchard B-city
grass I-city
hills I-city
nv B-state

i O
d O
like O
a O
table O
for O
10 B-party_size_number
at O
a O
distant B-spatial_relation
place O
downtown B-poi
for O
next B-timeRange
fall I-timeRange

i O
d O
like O
a O
table O
for O
6 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
denmark B-country
at O
22 B-timeRange

i O
want O
a O
table O
for O
four B-party_size_number
at O
a O
place O
in O
california B-state

i O
need O
a O
restaurant B-restaurant_type
that O
has O
internet B-facility
access O
for O
a O
party O
of O
six B-party_size_number

book O
a O
table O
for O
ten B-party_size_number
people O
in O
eucalyptus B-city
hills I-city

make O
me O
a O
reservation O
in O
tn B-state
somewhere O
nearby B-spatial_relation
for O
a O
party O
of O
4 B-party_size_number

book O
a O
table O
for O
2 B-party_size_number
in O
gleed B-city

i O
d O
like O
seats O
for O
five B-party_size_number
at O
a O
place O
in O
verden B-city
right O
now B-timeRange

book O
a O
table O
for O
3 B-party_size_number
far B-spatial_relation
from O
tullytown B-poi
at O
a O
coffeehouse B-restaurant_type
with O
a O
smoking B-facility
room I-facility

i O
need O
to O
reserve O
a O
seat O
for O
one B-party_size_number
in O
sd B-state
at O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type

book O
reservations O
not B-spatial_relation
far I-spatial_relation
from O
our O
neighborhood B-poi
for O
a O
party O
of O
2 B-party_size_number

book O
close-by B-spatial_relation
for O
1 B-party_size_number
in O
south B-state
dakota I-state

book O
a O
restaurant B-restaurant_type
in O
palestine B-country
for O
8 B-party_size_number
people O
at O
9 B-timeRange
am I-timeRange

book O
a O
latin B-cuisine
cuisine O
pub B-restaurant_type
for O
2 B-party_size_number
on O
september B-timeRange
the I-timeRange
13th I-timeRange
2037 I-timeRange
in O
kazakhstan B-country

i O
need O
to O
book O
a O
restaurant B-restaurant_type
for O
five B-party_size_number
in O
liberia B-country
at O
the B-restaurant_name
maisonette I-restaurant_name

party O
of O
two B-party_size_number
for O
a O
food B-restaurant_type
truck I-restaurant_type
on O
december B-timeRange
22 I-timeRange
that O
serves O
chicken B-served_dish
french I-served_dish
in O
bolivia B-country

book O
a O
restaurant B-restaurant_type
in O
the O
marshall B-state
islands I-state
for O
two B-party_size_number
people O

i O
need O
a O
reservation O
for O
a O
tea B-restaurant_type
house I-restaurant_type
in O
maple B-city
glen I-city
for O
four B-party_size_number
people O

in O
delanson B-city
1 B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
reserve O
a O
table O
for O
four B-party_size_number

book O
a O
table O
for O
8 B-party_size_number
people O
at O
robinson B-restaurant_name
house I-restaurant_name

i O
need O
to O
book O
a O
table O
at O
a O
place O
around B-spatial_relation
here O
in O
pa B-state
for O
a O
party O
of O
two B-party_size_number

my O
group O
of O
seven B-party_size_number
wants O
to O
eat O
at O
yogurt B-restaurant_name
mountain I-restaurant_name
in O
slick B-city
tonight B-timeRange

please O
make O
reservations O
for O
4 B-party_size_number
for O
the O
hog B-served_dish
fry I-served_dish
from O
the O
food B-restaurant_type
truck I-restaurant_type

book O
a O
restaurant B-restaurant_type
in O
delhi B-city
arkansas B-state
for O
three B-party_size_number
people O

i O
need O
a O
reservation O
for O
four B-party_size_number
at O
a O
restaurant B-restaurant_type
in B-timeRange
1 I-timeRange
hour I-timeRange
and I-timeRange
1 I-timeRange
second I-timeRange

i O
need O
reservations O
for O
a O
party O
of O
3 B-party_size_number
on O
all B-timeRange
souls I-timeRange
day I-timeRange
in O
temperance B-city
north B-state
dakota I-state

i O
want O
to O
book O
a O
restaurant B-restaurant_type
far B-spatial_relation
from O
the O
municipal B-poi
borough I-poi
of I-poi
mitcham I-poi
for O
10 B-party_size_number
people O

book O
a O
tyrolean B-cuisine
restaurant B-restaurant_type
in O
crocker B-city
indiana B-state
now B-timeRange
for O
3 B-party_size_number
people O

i O
d O
like O
a O
table O
for O
five B-party_size_number
at O
any O
restaurant B-restaurant_type

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
facility O
for O
3 B-party_size_number

book O
a O
restaurant B-restaurant_type
in O
the O
dominican B-country
republic I-country
in B-timeRange
one I-timeRange
minute I-timeRange
for O
a O
party O
of O
eight B-party_size_number

i O
want O
to O
bring O
six B-party_size_number
of O
us O
to O
a O
bistro B-restaurant_type
in B-poi
town I-poi
that O
serves O
hot B-served_dish
chicken I-served_dish
sandwich I-served_dish
that O
is O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

book O
a O
spot O
for O
two B-party_size_number
at O
a O
churrascaria B-restaurant_type
that O
sells O
cupcake B-served_dish
in O
lumpkin B-city
indiana B-state
now B-timeRange

i O
need O
a O
table O
for O
2 B-party_size_number
on O
feb B-timeRange
18 I-timeRange
at O
main B-restaurant_name
deli I-restaurant_name
steak I-restaurant_name
house I-restaurant_name

book O
a O
brasserie B-restaurant_type
with O
a O
pool B-facility
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
my O
neighborhood B-poi
for O
5 B-party_size_number
people O
at O
19:26 B-timeRange

book O
reservations O
at O
a O
restaurant B-restaurant_type
in O
jersey B-country
for O
six B-party_size_number
people O
next B-timeRange
october I-timeRange

find O
a O
coffeehouse B-restaurant_type
in O
illinois B-state
for O
three B-party_size_number

i O
want O
a O
table O
for O
8 B-party_size_number
in O
plain B-city
on O
aug B-timeRange
5 I-timeRange

book O
tea B-timeRange
at O
the B-restaurant_name
hamburger I-restaurant_name
wagon I-restaurant_name
for O
3 B-party_size_number
vickie B-party_size_description
reed I-party_size_description
melody I-party_size_description
and I-party_size_description
i I-party_size_description
in O
georgia B-country

book O
a O
spot O
for O
3 B-party_size_number
in O
egypt B-country
at O
five B-timeRange

book O
a O
table O
for O
nine B-party_size_number
people O
at O
a O
brasserie B-restaurant_type
on O
jan B-timeRange
16 I-timeRange
2034 I-timeRange

i O
need O
a O
table O
for O
3 B-party_size_number
at O
david B-restaurant_name
whitney I-restaurant_name
house I-restaurant_name
in O
brazil B-country

need O
a O
table O
for O
nine B-party_size_number
in O
east B-city
prairie I-city
la B-state

i O
need O
a O
table O
for O
10 B-party_size_number
at O
thomas B-restaurant_name
hynes I-restaurant_name
house I-restaurant_name
nineteen B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange

i O
need O
a O
table O
in O
tn B-state
that O
s O
not B-spatial_relation
to O
far B-spatial_relation
for O
a O
party O
of O
ten B-party_size_number

book O
a O
restaurant B-restaurant_type
in O
lake B-city
fenton I-city
for O
four B-party_size_number

book O
a O
reservation O
for O
a O
restaurant B-restaurant_type
serving O
wontons B-served_dish
for O
ten B-party_size_number
people O
in O
leopold B-city

book O
a O
reservation O
for O
1 B-party_size_number
on O
march B-timeRange
17 I-timeRange

book O
a O
restaurant B-restaurant_type
in O
french B-country
southern I-country
territories I-country
on O
dec B-timeRange
the I-timeRange
fifth I-timeRange
2026 I-timeRange
for O
two B-party_size_number

i O
want O
to O
book O
a O
restaurant B-restaurant_type
next B-timeRange
year I-timeRange
in O
glazier B-city
for O
6 B-party_size_number
people O

i O
need O
a O
reservation O
for O
a O
brasserie B-restaurant_type
place O
for O
a O
party O
of O
two B-party_size_number

book O
a O
table O
in O
arizona B-state
serving O
italian-american B-served_dish
cuisine I-served_dish
in O
a O
tavern B-restaurant_type
for O
2 B-party_size_number

i O
need O
a O
table O
at O
a O
cafeteria B-restaurant_type
for O
a O
party O
of O
6 B-party_size_number
in O
al B-state

i O
m O
looking O
for O
a O
table O
of O
eight B-party_size_number
at O
the B-restaurant_name
alley I-restaurant_name

book O
me O
a O
restaurant B-restaurant_type
for O
4 B-party_size_number
members O
at O
beaman B-city
federated B-state
states I-state
of I-state
micronesia I-state
in B-timeRange
one I-timeRange
minute I-timeRange

book O
reservations O
to O
a O
cafeteria B-restaurant_type
in O
brockway B-city
colorado B-state
that O
serves O
thai B-cuisine
food O
for O
six B-party_size_number
people O

book O
the O
gus B-restaurant_name
stevens I-restaurant_name
seafood I-restaurant_name
restaurant I-restaurant_name
& I-restaurant_name
buccaneer I-restaurant_name
lounge I-restaurant_name
in O
papua B-country
new I-country
guinea I-country
for O
one B-party_size_number
person O

restaurant B-restaurant_type
in O
south B-country
sudan I-country
for O
6 B-party_size_number

book O
a O
reservation O
for O
ten B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
american B-state
samoa I-state
at O
2 B-timeRange
am I-timeRange

i O
want O
to O
eat O
close B-spatial_relation
by I-spatial_relation
east B-poi
brady I-poi
for O
seven B-party_size_number
people O

book O
a O
nearby B-spatial_relation
northeast B-cuisine
indian I-cuisine
restaurant B-restaurant_type
in O
north B-state
carolina I-state
for O
ten B-party_size_number
people O
at O
six B-timeRange
am I-timeRange

table O
for O
nine B-party_size_number
at O
an O
internet B-facility
pub B-restaurant_type

book O
the O
labworth B-restaurant_name
café I-restaurant_name
in O
ethiopia B-country
for O
six B-party_size_number
people O

book O
a O
gibassier B-served_dish
serving O
tavern B-restaurant_type
in O
vermont B-state
for O
nine B-party_size_number

i O
need O
to O
book O
a O
restaurant B-restaurant_type
at O
four B-timeRange
o I-timeRange
clock I-timeRange
for O
4 B-party_size_number

need O
a O
table O
for O
sep B-timeRange
first I-timeRange
in O
haiti B-country
for O
a O
party O
of O
three B-party_size_number

book O
a O
restaurant B-restaurant_type
with O
wifi B-facility
for O
nine B-party_size_number
people O

i O
want O
to O
book O
a O
restaurant B-restaurant_type
in O
botswana B-country
for O
four B-party_size_number
people O

i O
need O
a O
forecast O
for O
jetmore B-city
massachusetts B-state
in O
1 B-timeRange
hour I-timeRange
and I-timeRange
1 I-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

i O
need O
to O
book O
a O
restaurant B-restaurant_type
in O
fork B-city
mountain I-city
sc B-state
for O
valarie B-party_size_description
mari I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
restaurant B-restaurant_type
at O
sixteen B-timeRange
o I-timeRange
clock I-timeRange
in O
sc B-state

book O
a O
taverna B-restaurant_type
that O
serves O
vichyssoise B-served_dish
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
in O
oh B-state

will O
it O
be O
colder B-condition_temperature
in O
ohio B-state

what O
is O
the O
weather O
supposed O
to O
be O
like O
in O
new B-state
jersey I-state
three B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

i O
want O
to O
book O
the B-restaurant_name
hat I-restaurant_name
for O
my B-party_size_description
grandfather I-party_size_description
and I-party_size_description
i I-party_size_description
in O
arkansas B-state

what O
will O
the O
weather O
be O
like O
not B-spatial_relation
far I-spatial_relation
from O
alabama B-state
on O
may B-timeRange
9 I-timeRange
2037 I-timeRange

what O
s O
the O
weather O
going O
to O
be O
in B-timeRange
7 I-timeRange
hours I-timeRange
in O
fm B-state

what O
is O
the O
forecast O
for O
cold B-condition_temperature
temps O
in O
nevada B-state

what O
is O
the O
forecast O
for O
west B-state
virginia I-state
will O
it O
be O
snowy B-condition_description

what O
s O
the O
weather O
for O
april B-timeRange
10th I-timeRange
2028 I-timeRange
in O
arkansas B-state

what O
is O
the O
forecast O
for O
sea B-city
isle I-city
city I-city
in O
louisiana B-state
for O
warmer B-condition_temperature
weather O

what O
will O
the O
weather O
be O
like O
in O
port B-city
clinton I-city
nebraska B-state
around O
midnight B-timeRange

will O
there O
be O
rain B-condition_description
next B-timeRange
year I-timeRange
in O
new B-state
hampshire I-state

what O
is O
the O
american B-state
samoa I-state
forecast O
for O
hot B-condition_temperature
weather O

will O
it O
be O
hot B-condition_temperature
in O
saint B-city
jo I-city
alaska B-state

book O
a O
co B-state
table O
at O
windows B-restaurant_name
on I-restaurant_name
the I-restaurant_name
world I-restaurant_name

will O
it O
be O
windy B-condition_description
at O
4 B-timeRange
pm I-timeRange
in O
ny B-state

is O
it O
supposed O
to O
gt O
colder B-condition_temperature
in O
or B-state

i O
would O
like O
to O
book O
a O
puglia B-cuisine
food B-restaurant_type
court I-restaurant_type
in O
ky B-state

book O
a O
restaurant B-restaurant_type
in O
fort B-city
gates I-city
fl B-state

is O
it O
forecast O
to O
be O
chilly B-condition_temperature
in O
iowa B-state

book O
a O
restaurant B-restaurant_type
at O
tennessee B-state

i O
want O
to O
find O
a O
salami B-served_dish
restaurant B-restaurant_type
in O
bastian B-city
in B-state

i O
need O
a O
table O
at O
somewhere O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
nv B-state
on O
november B-timeRange
the I-timeRange
24th I-timeRange
2027 I-timeRange

will O
there O
be O
cloud B-condition_description
action O
in O
saint B-city
bernard I-city
virgin B-state
islands I-state

what O
s O
the O
weather O
for O
this B-timeRange
year I-timeRange
in O
oregon B-state

will O
it O
be O
freezing B-condition_temperature
in O
5 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
nh B-state

book O
a O
restautant O
in O
north B-state
dakota I-state
at O
a O
bistro B-restaurant_type
that O
is O
indoor B-facility

tell O
me O
if O
it O
ll O
be O
freezing B-condition_temperature
333 B-timeRange
days I-timeRange
from I-timeRange
now I-timeRange
in O
caplinger B-city
mills I-city
florida B-state

can O
i O
book O
a O
restaurant B-restaurant_type
that O
serves O
pastelaria B-cuisine
in O
takilma B-city
virgin B-state
islands I-state

how O
is O
the O
forecast O
for O
ok B-state

me B-party_size_description
and I-party_size_description
imelda I-party_size_description
want O
a O
reservation O
in O
missouri B-state
at O
seven B-timeRange
am I-timeRange

book O
a O
food B-restaurant_type
court I-restaurant_type
in O
raytown B-city
arizona B-state
that O
serves O
green B-served_dish
bean I-served_dish
casserole I-served_dish
on O
july B-timeRange
20th I-timeRange

show O
fog B-condition_description
conditions O
at O
7 B-timeRange
am I-timeRange
in O
nh B-state

is O
it O
forecast O
to O
be O
rainy B-condition_description
in O
winchell B-city
mississippi B-state

show O
weather O
forecast O
in O
west B-city
wildwood I-city
south B-state
carolina I-state

will O
there O
be O
snowfall B-condition_description
in O
ky B-state

will O
it O
be O
cold B-condition_temperature
close-by B-spatial_relation
iowa B-state
on O
september B-timeRange
twenty-first I-timeRange
2025 I-timeRange

book O
a O
taverna B-restaurant_type
in O
wisconsin B-state
for O
22:54 B-timeRange

what O
is O
the O
weather O
forecast O
in O
va B-state

will O
it O
be O
warmer B-condition_temperature
in O
ct B-state

will O
the O
sky O
be O
overcast B-condition_description
around O
jan B-timeRange
28 I-timeRange
in O
ok B-state

how O
will O
the O
weather O
be O
in O
11 B-timeRange
years I-timeRange
from I-timeRange
now I-timeRange
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
florida B-state

tell O
me O
the O
weather O
forecast O
1 B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
for O
town B-city
west I-city
nevada B-state

in B-timeRange
1 I-timeRange
week I-timeRange
is O
there O
going O
to O
be O
a O
depression B-condition_description
in O
washington B-state

is O
there O
going O
to O
be O
any O
cloud B-condition_description
cover O
today B-timeRange
at O
mccracken B-city
in O
az B-state

will O
it O
be O
overcast B-condition_description
at O
18 B-timeRange
o I-timeRange
clock I-timeRange
in O
id B-state

what O
s O
the O
weather O
look O
like O
for O
mh B-state

is O
the O
weather O
going O
to O
be O
colder B-condition_temperature
in O
gu B-state
in B-timeRange
11 I-timeRange
years I-timeRange

tell O
me O
if O
it O
ll O
blizzard B-condition_description
in O
ks B-state

is O
the O
forecast O
windy B-condition_description
now B-timeRange
in O
fort B-city
myers I-city
shores I-city
arizona B-state

book O
a O
table O
at O
a O
osteria B-restaurant_type
type O
restaurant B-restaurant_type
in O
sd B-state

i O
d O
like O
to O
book O
a O
table O
at O
black B-restaurant_name
horse I-restaurant_name
tavern I-restaurant_name
in O
georgia B-state
at O
4 B-timeRange
am I-timeRange

weather O
for O
july B-timeRange
1 I-timeRange
in O
ut B-state

is O
it O
going O
to O
be O
sunny B-condition_description
at O
21 B-timeRange
o I-timeRange
clock I-timeRange
close-by B-spatial_relation
district B-state
of I-state
columbia I-state

what O
s O
the O
weather O
forecast O
for O
elida B-city
rhode B-state
island I-state

book O
a O
bar B-restaurant_type
in O
sc B-state
in O
leonville B-city

i O
d O
like O
to O
eat O
at O
a O
pho B-served_dish
restaurant B-restaurant_type
in O
vt B-state

please O
let O
me O
know O
the O
weather O
forecast O
in O
louisiana B-state
state B-geographic_poi

is O
it O
supposed O
to O
be O
chilly B-condition_temperature
in O
de B-state
tonight B-timeRange

book O
a O
food B-restaurant_type
truck I-restaurant_type
in O
mp B-state
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
ex I-party_size_description
husband I-party_size_description

i O
want O
a O
table O
for O
my B-party_size_description
grandson I-party_size_description
and I-party_size_description
i I-party_size_description
somewhere O
in O
arkansas B-state

casey B-party_size_description
and I-party_size_description
i I-party_size_description
will O
be O
in O
kentucky B-state
for O
food O

will O
it O
get O
cold B-condition_temperature
in O
nevada B-state
seven B-timeRange
weeks I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange

please O
book O
a O
restaurant B-restaurant_type
for O
45 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
fm B-state

is O
it O
forecast O
to O
be O
chillier B-condition_temperature
around B-spatial_relation
texas B-state

what O
will O
the O
weather O
be O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
in O
minnesota B-state
on O
june B-timeRange
27th I-timeRange
2023 I-timeRange

what O
is O
the O
forecast O
for O
tschetter B-city
colony I-city
on O
ascension B-timeRange
day I-timeRange
in O
oregon B-state

what O
s O
the O
weather O
forecast O
for O
east B-city
berlin I-city
al B-state

show O
freezing B-condition_temperature
forcast O
now B-timeRange
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
in O
north B-state
dakota I-state

book O
me B-party_size_description
and I-party_size_description
my I-party_size_description
grandparents I-party_size_description
a O
restaurant B-restaurant_type
in O
saint B-city
helens I-city
south B-state
dakota I-state

need O
a O
table O
somewhere O
in O
mclaurin B-city
connecticut B-state

what O
s O
the O
weather O
going O
to O
be O
like O
in O
pr B-state
at O
nineteen B-timeRange
o I-timeRange
clock I-timeRange

weather O
near B-spatial_relation
california B-state

book O
a O
restaurant B-restaurant_type
in O
al B-state
at O
oak B-city
ridge I-city

book O
a O
table O
at O
a O
faraway B-spatial_relation
brasserie B-restaurant_type
in O
nj B-state

forecast O
for O
wisconsin B-state
at O
10 B-timeRange
pm I-timeRange

what O
is O
the O
weather O
going O
to O
be O
like O
in O
twenty B-timeRange
three I-timeRange
minutes I-timeRange
in O
parksdale B-city
in B-state

show O
cloud B-condition_description
forcast O
in B-timeRange
1 I-timeRange
hour I-timeRange
in O
ia B-state

i O
want O
to O
book O
dinner B-restaurant_name
by I-restaurant_name
heston I-restaurant_name
blumenthal I-restaurant_name
in O
al B-state

show O
me O
the O
forecast O
for O
wisconsin B-state

need O
a O
jewish B-cuisine
in O
maine B-state
to O
book O
a O
restaurant B-restaurant_type

book O
a O
table O
at O
a O
tea B-restaurant_type
house I-restaurant_type
in B-timeRange
21 I-timeRange
hours I-timeRange
in O
northern B-state
mariana I-state
islands I-state

i O
need O
to O
know O
is O
it O
freezing B-condition_temperature
in O
mn B-state
at O
01:27 B-timeRange
pm I-timeRange

book O
a O
reservation O
for O
a O
restaurant B-restaurant_type
in O
stonewood B-city
gu B-state

what O
is O
the O
forecast O
in O
bearmouth B-city
in O
virgin B-state
islands I-state
in B-timeRange
3 I-timeRange
months I-timeRange

what O
will O
the O
humidity B-condition_description
be O
in O
ar B-state
in O
49 B-timeRange
weeks I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange

will O
it O
be O
colder B-condition_temperature
in O
delaware B-state

book O
an O
oyster B-restaurant_type
bar I-restaurant_type
in O
american B-state
samoa I-state
for O
lunch B-timeRange

what O
is O
the O
weather O
of O
nebraska B-state

is O
it O
chilly B-condition_temperature
in O
fm B-state

make O
a O
reservation O
for O
eunice B-party_size_description
thompson I-party_size_description
and I-party_size_description
elisa I-party_size_description
martin I-party_size_description
in O
the O
virgin B-state
islands I-state
in B-timeRange
one I-timeRange
minute I-timeRange

will O
there O
be O
a O
lot O
of O
cloud B-condition_description
activity O
next B-timeRange
summer I-timeRange
in O
nellieburg B-city
arkansas B-state

tell O
me O
the O
weather O
forecast O
for O
eight B-timeRange
am I-timeRange
in O
reminderville B-city
fl B-state

which O
day B-timeRange
this O
week B-timeRange
will O
it O
get O
chilly B-condition_temperature
in O
palmetto B-city
in B-state

how O
will O
the O
weather O
be O
in O
kentucky B-state
this B-timeRange
week I-timeRange

book O
a O
hawaiian B-cuisine
diner B-restaurant_type
in O
south B-state
carolina I-state
not B-spatial_relation
far I-spatial_relation
away O
in O
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

tell O
me O
the O
weather O
forecast O
for O
lecanto B-city
georgia B-state

what O
is O
the O
weather O
like O
in O
the O
city O
of O
frewen B-city
in O
the O
country O
of O
venezuela B-country

will O
it O
be O
warmer B-condition_temperature
now B-timeRange
in O
covenant B-city
life I-city

will O
it O
be O
humid B-condition_description
in O
beedeville B-city
on O
november B-timeRange
20 I-timeRange

what O
s O
the O
weather O
forecast O
for O
moss B-city
hill I-city

ethiopia B-country
ellenton B-city
has O
snow B-condition_description
weather O
at O
eight B-timeRange
pm I-timeRange

book O
a O
restaurant O
on O
june B-timeRange
the I-timeRange
fifth I-timeRange
in O
cavour B-city

give O
me O
the O
weather O
forecast O
for O
lower B-city
lake I-city
on O
sep B-timeRange
21 I-timeRange
2038 I-timeRange

what O
is O
the O
forecast O
for O
temperate B-condition_temperature
weather O
in O
bellechester B-city

what O
s O
the O
forecast O
for O
alley B-city
canada B-country

will O
it O
be O
stormy B-condition_description
in O
ritchey B-city
in O
palau B-country

is O
it O
hot B-condition_temperature
in O
gold B-city
beach I-city
bahrain B-country

book O
a O
table O
at O
skycity B-restaurant_name
in O
salado B-city
for O
me B-party_size_description
and I-party_size_description
hannah I-party_size_description

forecast O
for O
hardinsburg B-city
20 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

what O
s O
the O
weather O
in O
stamps B-city

i O
want O
to O
book O
a O
table O
for O
me B-party_size_description
and I-party_size_description
josefa I-party_size_description
at O
jacob B-restaurant_name
wirth I-restaurant_name
restaurant I-restaurant_name
in O
branford B-city

what O
s O
the O
weather O
in O
la B-city
pine I-city

is O
it O
going O
to O
be O
cold B-condition_temperature
today B-timeRange
in O
wing B-city

is O
it O
forecast O
to O
be O
freezing B-condition_temperature
in O
benedict B-city

how O
chilly B-condition_temperature
is O
it O
close B-spatial_relation
to O
hollidaysburg B-city

book O
a O
gastropub B-restaurant_type
in O
rose B-city
creek I-city
for O
elevenses B-timeRange

is O
it O
supposed O
to O
hail B-condition_description
in O
rosenberg B-city
in O
the O
french B-country
polynesia I-country

how O
cold B-condition_temperature
is O
it O
in O
princeton B-city
junction I-city

in B-timeRange
one I-timeRange
hundred I-timeRange
twenty I-timeRange
seven I-timeRange
days I-timeRange
i O
d O
like O
to O
eat O
at O
a O
pizzeria B-restaurant_type
in O
north B-city
lima I-city

is O
it O
going O
to O
be O
rainy B-condition_description
in O
kings B-city
valley I-city
kosovo B-country
next B-timeRange
mon I-timeRange

what O
s O
the O
forecast O
for O
gamaliel B-city

what O
s O
the O
weather O
in O
koontz B-city
lake I-city

i O
d O
like O
to O
eat O
a O
restaurant B-restaurant_type
in O
or O
nearby B-spatial_relation
pelahatchie B-city
at O
12 B-timeRange
o I-timeRange
clock I-timeRange

forecast O
in O
layhigh B-city

will O
it O
be O
chillier B-condition_temperature
in O
suwannee B-city

what O
s O
the O
weather O
like O
in O
kaltag B-city

is O
it O
going O
to O
be O
chilly B-condition_temperature
at O
nine B-timeRange
am I-timeRange
in O
doolittle B-city

will O
it O
be O
hotter B-condition_temperature
netherlands B-country
antilles I-country
flats B-city
on O
april B-timeRange
the I-timeRange
27th I-timeRange

will O
it O
be O
freezing B-condition_temperature
5 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange
in O
patmos B-city

what O
is O
the O
weather O
like O
right O
now B-timeRange
for O
fort B-city
adams I-city

how O
will O
the O
weather O
be O
five B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
moneta B-city

1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange
i O
will O
need O
reservations O
at O
a O
restaurant B-restaurant_type
in O
vanlue B-city

will O
there O
be O
wind B-condition_description
on O
january B-timeRange
24 I-timeRange
2019 I-timeRange
in O
ransom B-city

make O
me O
a O
reservation O
in O
hardesty B-city
at O
a O
joint B-restaurant_type
the O
is O
indoor B-facility

will O
it O
get O
windy B-condition_description
in O
ocean B-city
breeze I-city
park I-city

tell O
me O
the O
weather O
forecast O
for O
carmichaels B-city
gambia B-country
at O
one B-timeRange
am I-timeRange

i O
want O
to O
book O
a O
restaurant O
in O
neshanic B-city
station I-city
nigeria B-country
for O
06:18:13 B-timeRange
pm I-timeRange

will O
it O
get O
hotter B-condition_temperature
in O
hext B-city

i O
need O
a O
table O
in O
neighboring B-spatial_relation
carencro B-city
at O
the O
bridge B-restaurant_name
round I-restaurant_name
house I-restaurant_name

what O
is O
the O
weather O
going O
to O
be O
like O
in O
flint B-city
hill I-city
in B-timeRange
9 I-timeRange
years I-timeRange

will O
it O
be O
chillier B-condition_temperature
in O
ruskin B-city

weather O
for O
south B-city
williamsport I-city

is O
it O
hotter B-condition_temperature
now B-timeRange
in O
hicks B-city

what O
s O
the O
weather O
like O
in O
wyandotte B-city
netherlands B-country
antilles I-country

will O
it O
be O
stormy B-condition_description
in O
deposit B-city

will O
it O
be O
cloudy B-condition_description
in O
tatamy B-city

what O
s O
the O
weather O
in O
castle B-city
at O
17:43 B-timeRange

book O
a O
restaurant B-restaurant_type
in O
almyra B-city
in B-timeRange
10 I-timeRange
years I-timeRange

i O
need O
a O
restaurant B-restaurant_type
on O
july B-timeRange
18th I-timeRange
in O
rose B-city
bud I-city

what O
is O
the O
forecast O
in O
kearneysville B-city

will O
it O
get O
foggy B-condition_description
in O
spring B-city
hill I-city

christie B-party_size_description
concepcion I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
eat O
trattoria B-cuisine
at O
a O
brasserie B-restaurant_type
in O
johnston B-city
now B-timeRange

check O
the O
forecast O
for O
keene B-city

is O
it O
supposed O
to O
get O
chilly B-condition_temperature
in O
dewey B-city

what O
s O
the O
forecast O
for O
little B-city
silver I-city

is O
it O
freezing B-condition_temperature
in O
tira B-city

what O
s O
the O
weather O
on O
bird B-city
island I-city
burkina B-country
at O
shavuot B-timeRange

what O
s O
the O
weather O
like O
at O
sunset B-city
hills I-city

is O
it O
foggy B-condition_description
in O
shelter B-city
island I-city

whats O
the O
weather O
in O
irma B-city

will O
it O
be O
windy B-condition_description
in O
breaux B-city
bridge I-city
turks B-country
and I-country
caicos I-country
islands I-country
eleven B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

book O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
lucerne B-city
valley I-city
that O
serves O
chicken B-served_dish
nugget I-served_dish

can O
you O
get O
the O
weather O
forecast O
for O
new B-city
baden I-city

what O
s O
the O
weather O
forecast O
for O
coats B-city

is O
there O
going O
to O
be O
snowfall B-condition_description
in O
alton B-city

will O
it O
get O
hotter B-condition_temperature
in O
the O
city O
of O
ashford B-city

tell O
me O
the O
weather O
forecast O
one B-timeRange
year I-timeRange
from I-timeRange
now I-timeRange
in O
kulpsville B-city
togo B-country

will O
it O
get O
colder B-condition_temperature
in O
cape B-city
fair I-city

will O
it O
get O
chilly B-condition_temperature
1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange
in O
carterville B-city

what O
is O
the O
weather O
in O
pendleton B-city
center I-city

book O
a O
restaurant B-restaurant_type
in O
kamrar B-city
for O
midday B-timeRange

what O
is O
the O
weather O
like O
in O
detroit B-city
lakes I-city

is O
it O
nice O
now B-timeRange
in O
madawaska B-city

how O
far B-spatial_relation
from O
quebeck B-city
will O
it O
be O
hot B-condition_temperature

will O
it O
be O
freezing B-condition_temperature
at O
1 B-timeRange
am I-timeRange
in O
balko B-city

weather O
for O
frankfort B-city

how O
s O
the O
weather O
in O
brookdale B-city
zimbabwe B-country

will O
there O
be O
a O
lot O
of O
sun B-condition_description
in O
dry B-city
prong I-city
somalia B-country
at O
5 B-timeRange
pm I-timeRange

what O
s O
the O
forecast O
for O
east B-city
sonora I-city
qatar B-country

is O
it O
humid B-condition_description
in O
otsego B-city
réunion B-country

will O
it O
be O
chilly B-condition_temperature
around B-spatial_relation
oregonia B-city
in B-timeRange
9 I-timeRange
months I-timeRange

is O
it O
hotter B-condition_temperature
in O
vernon B-city

what O
will O
the O
weather O
be O
in O
montevallo B-city
on O
july B-timeRange
ninth I-timeRange
2018 I-timeRange

what O
s O
the O
weather O
next B-timeRange
week I-timeRange
in O
somis B-city

what O
is O
the O
weather O
of O
ludowici B-city
at O
4 B-timeRange
am I-timeRange

what O
will O
the O
the O
weather O
be O
like O
close B-spatial_relation
to O
bailey B-city
s I-city
crossroads I-city
at O
05:00:34 B-timeRange
am I-timeRange

will O
it O
be O
freezing B-condition_temperature
in B-timeRange
seven I-timeRange
minutes I-timeRange
in O
nora B-city
fiji B-country

book O
me O
a O
table O
at O
a O
tartinery B-restaurant_name
restaurant I-restaurant_name
not B-spatial_relation
far I-spatial_relation
from O
my O
home B-poi
in O
elk B-city
rapids I-city

will O
it O
be O
warm B-condition_temperature
neighboring B-spatial_relation
here B-current_location
in O
whitehouse B-city

is O
it O
freezing B-condition_temperature
this O
evening B-timeRange
in O
maunabo B-city
united B-country
states I-country

what O
will O
the O
weather O
be O
in O
east B-city
new I-city
market I-city
antarctica B-country

what O
is O
the O
midday B-timeRange
weather O
forecast O
for O
chalkyitsik B-city
palestine B-country

give O
me O
the O
forecast O
for O
the O
weather O
in O
citrus B-city
springs I-city

is O
it O
cloudy B-condition_description
in O
tingley B-city

what O
s O
the O
weather O
like O
in O
big B-city
delta I-city

find O
a O
reservation O
in O
deweese B-city
for O
my B-party_size_description
sister I-party_size_description
and I-party_size_description
i I-party_size_description

please O
let O
me O
know O
the O
weather O
forcast O
of O
stanislaus B-geographic_poi
national I-geographic_poi
forest I-geographic_poi
far B-spatial_relation
in B-timeRange
nine I-timeRange
months I-timeRange

what O
s O
the O
weather O
in O
my O
current B-current_location
spot I-current_location
the B-timeRange
day I-timeRange
after I-timeRange
tomorrow I-timeRange

is O
it O
supposed O
to O
rain B-condition_description
nearby B-spatial_relation
my O
current B-current_location
location I-current_location
at O
0 B-timeRange
o I-timeRange
clock I-timeRange

i O
want O
to O
eat O
at O
a O
pickled B-served_dish
cucumber I-served_dish
brasserie B-restaurant_type
in B-timeRange
12 I-timeRange
months I-timeRange

i O
need O
a O
table O
at O
the B-restaurant_name
ledbury I-restaurant_name
at O
18 B-timeRange
o I-timeRange
clock I-timeRange

i O
d O
like O
a O
table O
in O
a O
smoking B-facility
room I-facility
in O
a O
taverna B-restaurant_type
on O
sep B-timeRange
23 I-timeRange
2023 I-timeRange

what O
will O
the O
weather O
be O
like O
19 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
in O
nepal B-country

what O
will O
the O
weather O
be O
at O
my O
current B-current_location
location I-current_location
on O
december B-timeRange
the I-timeRange
2nd I-timeRange
2029 I-timeRange

is O
there O
going O
to O
be O
a O
depression B-condition_description
two B-timeRange
hundred I-timeRange
sixteen I-timeRange
days I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange
in O
mill B-geographic_poi
bluff I-geographic_poi
state I-geographic_poi
park I-geographic_poi

i O
want O
the O
weather O
for O
saint B-country
martin I-country
next B-timeRange
year I-timeRange

will O
it O
rain B-condition_description
here B-current_location
at O
13:22:09 B-timeRange

casey B-party_size_description
chavez I-party_size_description
lucinda I-party_size_description
and I-party_size_description
karina I-party_size_description
want O
to O
eat O
at O
a O
diner B-restaurant_type
on O
december B-timeRange
the I-timeRange
7th I-timeRange

what O
will O
the O
weather O
be O
like O
on O
feb B-timeRange
8 I-timeRange
2034 I-timeRange
in O
cedar B-geographic_poi
mountain I-geographic_poi
wilderness I-geographic_poi

what O
s O
the O
weather O
going O
to O
be O
like O
near B-spatial_relation
moldova B-country
on O
fri B-timeRange

book O
a O
restaurant B-restaurant_type
that O
serves O
bouchée B-served_dish
for O
midnight B-timeRange

is O
the O
film B-movie_type
goodrich B-location_name
quality I-location_name
theaters I-location_name
playing O
at O
12:26 B-timeRange
am I-timeRange

tell O
me O
if O
it O
ll O
be O
chilly B-condition_temperature
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
here B-current_location

what O
is O
the O
weather O
forecast O
for O
wolin B-geographic_poi
national I-geographic_poi
park I-geographic_poi
three B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

what O
is O
the O
forecast O
at O
four B-timeRange
am I-timeRange
in O
zambia B-country

is O
it O
chilly B-condition_temperature
in O
ecola B-geographic_poi
state I-geographic_poi
park I-geographic_poi
at O
2 B-timeRange
pm I-timeRange

book O
a O
restaurant B-restaurant_type
for O
me B-party_size_description
and I-party_size_description
rosemary I-party_size_description
at O
1 B-timeRange
am I-timeRange

will O
it O
be O
foggy B-condition_description
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
parc B-geographic_poi
provincial I-geographic_poi
kettle I-geographic_poi
lakes I-geographic_poi
on O
february B-timeRange
the I-timeRange
thirteenth I-timeRange
2018 I-timeRange

i O
want O
to O
book O
a O
meal B-timeRange
at O
a O
restaurant B-restaurant_type
that O
searves O
kouglof B-served_dish

what O
s O
the O
weather O
looking O
like O
right O
now B-timeRange
in O
croatia B-country

what O
s O
the O
weather O
in B-timeRange
twenty I-timeRange
five I-timeRange
days I-timeRange
in O
hagerman B-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

what O
s O
the O
weather O
going O
to O
be O
like O
here B-current_location
at O
ten B-timeRange
am I-timeRange

what O
will O
the O
weather O
be O
like O
at O
ten B-timeRange
am I-timeRange
in O
austria B-country

when O
is O
sunrise B-timeRange
in O
american B-country
samoa I-country

find O
movie B-object_type
times I-object_type
for O
nine B-timeRange
pm I-timeRange

book O
a O
table O
for O
january B-timeRange
the I-timeRange
twentieth I-timeRange
at O
a O
place O
far B-spatial_relation
from O
your B-poi
daughter I-poi
s I-poi
campus I-poi

what O
is O
the O
movie B-object_type
schedules I-object_type
at O
for O
douglas B-location_name
theatre I-location_name
company I-location_name
at O
0 B-timeRange
p I-timeRange
m I-timeRange

in O
bon B-geographic_poi
secour I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi
at O
twelve B-timeRange
pm I-timeRange
will O
it O
be O
chilly B-condition_temperature

give O
me O
the O
forecast O
for O
here B-current_location
on O
february B-timeRange
the I-timeRange
sixteenth I-timeRange
2022 I-timeRange

what O
will O
the O
weather O
be O
like O
in B-timeRange
1 I-timeRange
minute I-timeRange
in O
my O
current B-current_location
position I-current_location

tell O
me O
the O
weather O
for O
next B-timeRange
week I-timeRange
at O
cathedral B-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
films B-movie_type
are O
going O
to O
be O
playing O
at O
harkins B-location_name
theatres I-location_name
at O
zero B-timeRange
a I-timeRange
m I-timeRange

what O
movies B-movie_type
are O
playing O
one B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
at O
cooper B-location_name
foundation I-location_name

what O
s O
the O
forecast O
for O
walker B-geographic_poi
bay I-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi
for O
next B-timeRange
year I-timeRange

what O
is O
the O
movie B-object_type
schedule I-object_type
at O
cineplex B-location_name
odeon I-location_name
corporation I-location_name
12 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

is O
it O
going O
to O
be O
cloudy B-condition_description
in O
my O
current B-current_location
spot I-current_location
for O
dinner B-timeRange

weather O
in O
bashkirsky B-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi
20 B-timeRange
days I-timeRange
from I-timeRange
now I-timeRange

what O
is O
the O
weather O
in O
åland B-country
4 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

what O
is O
the O
weather O
forecast O
for O
sunset B-timeRange
in O
bouvet B-country
island I-country

will O
it O
be O
chilly B-condition_temperature
17 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
in O
cold B-geographic_poi
creek I-geographic_poi
conservation I-geographic_poi
area I-geographic_poi

find O
meal B-timeRange
time O
movie B-object_type
times I-object_type
close B-spatial_relation
by I-spatial_relation
for O
movies B-movie_type

tell O
me O
if O
it O
ll O
be O
temperate B-condition_temperature
three B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
in O
bonaire B-country

book O
sot O
for O
22 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
at O
a O
restaurant B-restaurant_type
with O
parking B-facility

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
that O
serves O
toast B-served_dish
eleven B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

what O
will O
be O
the O
humidity B-condition_description
5 B-timeRange
years I-timeRange
from I-timeRange
now I-timeRange
in O
bradbury B-geographic_poi
mountain I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
s O
the O
weather O
forecast O
for O
my O
current B-current_location
location I-current_location
on O
jun B-timeRange
2 I-timeRange

what O
is O
the O
movie B-object_type
schedule I-object_type
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

find O
a O
reservation O
at O
the O
roseland B-restaurant_name
theater I-restaurant_name
at O
10 B-timeRange
pm I-timeRange

tell O
me O
if O
it O
ll O
be O
temperate B-condition_temperature
in B-timeRange
8 I-timeRange
seconds I-timeRange
in O
guatemala B-country

what O
was O
the O
weather O
like O
last B-timeRange
may I-timeRange
at O
altai B-geographic_poi
tavan I-geographic_poi
bogd I-geographic_poi
national I-geographic_poi
park I-geographic_poi

is O
it O
going O
to O
be O
sunny B-condition_description
at O
five B-timeRange
pm I-timeRange
in O
chatyrkul B-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

will O
it O
get O
chillier B-condition_temperature
in B-timeRange
12 I-timeRange
years I-timeRange
in O
greenland B-country

will O
it O
be O
sunny B-condition_description
in O
spain B-country
on O
3/26/2023 B-timeRange

show O
me O
the O
movie B-object_type
schedule I-object_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation
near O
my O
home O
at O
seven B-timeRange
am I-timeRange
for O
animated B-movie_type
movies I-movie_type

what O
is O
the O
movie B-object_type
schedule I-object_type
for O
films B-movie_type
that O
are O
playing O
nearby B-spatial_relation
in B-timeRange
15 I-timeRange
minutes I-timeRange

will O
there O
be O
a O
storm B-condition_description
on O
christmas B-timeRange
day I-timeRange
in O
my O
current B-current_location
place I-current_location

book O
a O
restaurant B-restaurant_type
for O
jul B-timeRange
27 I-timeRange

give O
me O
the O
morning B-timeRange
movie B-object_type
schedules I-object_type

will O
it O
be O
rainy B-condition_description
at O
8 B-timeRange
in O
dans B-geographic_poi
mountain I-geographic_poi
state I-geographic_poi
park I-geographic_poi

tell O
me O
the O
weather O
forecast O
for O
northern B-country
mariana I-country
islands I-country
one B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

what O
animated B-movie_type
movies I-movie_type
are O
playing O
now B-timeRange
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

please O
check O
whether O
any O
animated B-movie_type
movies I-movie_type
will O
be O
running O
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation
around O
04:34:15 B-timeRange
pm I-timeRange

what O
will O
the O
weather O
be O
like O
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
in O
pugu B-geographic_poi
hills I-geographic_poi
forest I-geographic_poi
reserve I-geographic_poi

at O
thirteen B-timeRange
o I-timeRange
clock I-timeRange
book O
a O
table O
for O
margie B-party_size_description
and I-party_size_description
i I-party_size_description
in O
vanuatu B-country

what O
movie B-object_type
schedules I-object_type
start O
at O
sunset B-timeRange

book O
john B-restaurant_name
pearson I-restaurant_name
soda I-restaurant_name
works I-restaurant_name
restaurant B-restaurant_type
on O
7/27/2036 B-timeRange

warren B-geographic_poi
island I-geographic_poi
state I-geographic_poi
park I-geographic_poi
distant B-spatial_relation
weather O
forecast O
for O
11 B-timeRange
am I-timeRange

i O
d O
like O
to O
watch O
films B-movie_type
in B-timeRange
23 I-timeRange
hours I-timeRange
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

what O
s O
the O
weather O
going O
to O
be O
one B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
in O
taiwan B-country

will O
it O
be O
freezing B-condition_temperature
nearby B-spatial_relation
thap B-geographic_poi
lan I-geographic_poi
national I-geographic_poi
park I-geographic_poi
at O
4 B-timeRange
pm I-timeRange

what O
will O
the O
weather O
be O
like O
in B-timeRange
three I-timeRange
weeks I-timeRange
faraway B-spatial_relation
in O
sompio B-geographic_poi
strict I-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi

what O
movies B-movie_type
are O
showing O
at O
fox B-location_name
theatres I-location_name
at O
11 B-timeRange
am I-timeRange

what O
movie B-object_type
times I-object_type
start O
in B-timeRange
22 I-timeRange
seconds I-timeRange
at O
magic B-location_name
johnson I-location_name
theatres I-location_name

what O
is O
the O
weather O
forecast O
in O
the O
country O
of O
chile B-country
fifteen B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

book O
main B-restaurant_name
deli I-restaurant_name
steak I-restaurant_name
house I-restaurant_name
on O
february B-timeRange
13 I-timeRange
in O
serbia B-country
and I-country
montenegro I-country

what O
s O
the O
weather O
in B-timeRange
10 I-timeRange
months I-timeRange
in O
nam B-geographic_poi
kading I-geographic_poi
national I-geographic_poi
protected I-geographic_poi
area I-geographic_poi

what O
will O
the O
weather O
be O
in B-timeRange
one I-timeRange
minute I-timeRange
in O
tanzania B-country

will O
it O
be O
snowy B-condition_description
at O
the O
current B-current_location
position I-current_location
by O
march B-timeRange
3 I-timeRange

courtney B-party_size_description
and I-party_size_description
ruby I-party_size_description
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
three B-timeRange
years I-timeRange
from I-timeRange
now I-timeRange

charlene B-party_size_description
and I-party_size_description
i I-party_size_description
and O
are O
are O
in O
liechtenstein B-country
and O
want O
restaurant B-restaurant_type
reservations O
at O
midnight B-timeRange

will O
there O
be O
a O
fog O
here B-current_location
this O
week B-timeRange

book O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type
at O
18:28 B-timeRange
and O
order O
wings B-served_dish

is O
it O
going O
to O
be O
freezing B-condition_temperature
in B-timeRange
one I-timeRange
hour I-timeRange
in O
puerto B-country
rico I-country

book O
a O
restaurant B-restaurant_type
in O
macedonia B-country
for O
13 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

let O
me O
get O
the O
forecast O
for O
tea B-timeRange
time O
in O
el B-country
salvador I-country

what O
is O
on O
the O
movie B-object_type
schedule I-object_type
for O
four B-timeRange
am I-timeRange
at O
landmark B-location_name
theatres I-location_name

show O
movie B-object_type
times I-object_type
now B-timeRange

is O
there O
any O
fog B-condition_description
warning O
in O
dauset B-geographic_poi
trails I-geographic_poi
nature I-geographic_poi
center I-geographic_poi
now B-timeRange

what O
movies B-movie_type
are O
on O
the O
movie B-object_type
schedules I-object_type
for O
five B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

what O
is O
the O
weather O
in O
current B-current_location
location I-current_location
on O
december B-timeRange
the I-timeRange
23rd I-timeRange
2027 I-timeRange

book O
a O
table O
at O
a O
tavern B-restaurant_type
in O
albania B-country
for O
annette B-party_size_description
darlene I-party_size_description
and I-party_size_description
barbara I-party_size_description
james I-party_size_description
for O
ten B-timeRange
am I-timeRange

book O
this B-timeRange
week I-timeRange
for O
their B-poi
step I-poi
sister I-poi
s I-poi
workplace I-poi
close B-spatial_relation

what O
films B-movie_type
are O
playing O
now B-timeRange
at O
the O
general B-location_name
cinema I-location_name
corporation I-location_name

what O
kind O
of O
weather O
is O
forecast O
around O
seven B-timeRange
pm I-timeRange
here B-current_location

what O
will O
the O
weather O
be O
in O
uzbekistan B-country
at O
4 B-timeRange
am I-timeRange

book O
a O
spa B-facility
in O
pizzeria B-restaurant_type
on O
november B-timeRange
24 I-timeRange
2036 I-timeRange

give O
three B-rating_value
stars B-rating_unit
to O
chronicle B-object_part_of_series_type
falling B-object_name
in I-object_name
love I-object_name
with I-object_name
hominids I-object_name

give O
heartland B-object_name
chronicle B-object_part_of_series_type
four B-rating_value
points B-rating_unit

i O
want O
to O
rate O
the O
selected B-object_name
letters I-object_name
of I-object_name
h I-object_name
p I-object_name
lovecraft I-object_name
i I-object_name
saga B-object_part_of_series_type
3 B-rating_value
stars B-rating_unit

i O
give O
four B-rating_value
stars B-rating_unit
to O
this B-object_select
chronicle B-object_part_of_series_type

i O
would O
give O
the O
against B-object_name
his-story I-object_name
against I-object_name
leviathan I-object_name
saga B-object_part_of_series_type
a O
value O
of O
one B-rating_value

rate O
this B-object_select
series B-object_part_of_series_type
one B-rating_value
stars B-rating_unit

rate O
the B-object_name
ultimate I-object_name
revelations I-object_name
saga B-object_part_of_series_type
four B-rating_value

rate O
and B-object_name
no I-object_name
more I-object_name
shall I-object_name
we I-object_name
part I-object_name
chronicle B-object_part_of_series_type
4 B-rating_value

rate O
the O
current B-object_select
chronicle B-object_part_of_series_type
a O
five B-rating_value

rate O
the O
current B-object_select
series B-object_part_of_series_type
a O
zero B-rating_value

rate O
this B-object_select
saga B-object_part_of_series_type
1 B-rating_value
points B-rating_unit

rate O
the O
always B-object_name
running I-object_name
series B-object_part_of_series_type
0 B-rating_value
points B-rating_unit

rate O
adventures B-object_name
in I-object_name
stationery I-object_name
saga B-object_part_of_series_type
5 B-rating_value
stars B-rating_unit

i O
d O
give O
the O
embers B-object_name
of I-object_name
war I-object_name
saga B-object_part_of_series_type
a O
rating O
of O
2 B-rating_value
points B-rating_unit

find O
a O
saga B-object_part_of_series_type
with O
0 B-rating_value
rating O
called O
poems B-object_name
for I-object_name
midnight I-object_name

rate O
the B-object_name
summer I-object_name
king I-object_name
saga B-object_part_of_series_type
a O
1 B-rating_value
stars B-rating_unit

i O
think O
this B-object_select
saga B-object_part_of_series_type
only O
deserves O
a O
0 B-rating_value
out O
of O
6 B-best_rating

rate O
the O
current B-object_select
saga B-object_part_of_series_type
a O
two B-rating_value

rate O
the B-object_name
pure I-object_name
weight I-object_name
of I-object_name
the I-object_name
heart I-object_name
series B-object_part_of_series_type
5 B-rating_value
points B-rating_unit

the O
amityville: B-object_name
the I-object_name
evil I-object_name
escapes I-object_name
chronicle B-object_part_of_series_type
is O
only O
a O
1 B-rating_value
out O
of O
6 B-best_rating

this O
chronicle B-object_part_of_series_type
of O
the B-object_name
origins I-object_name
and I-object_name
history I-object_name
of I-object_name
consciousness I-object_name
is O
a O
three B-rating_value

rate O
the O
white B-object_name
lies I-object_name
chronicle B-object_part_of_series_type
0 B-rating_value
stars B-rating_unit

this B-object_select
saga B-object_part_of_series_type
deserves O
a O
score O
of O
four B-rating_value

i O
think O
the O
chronicle B-object_part_of_series_type
entitled O
the B-object_name
spirit I-object_name
of I-object_name
st I-object_name
louis I-object_name
should O
be O
given O
a O
zero B-rating_value
rating O

rate O
the O
current B-object_select
book B-object_type
series B-object_part_of_series_type
two B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
the O
current B-object_select
saga B-object_part_of_series_type
four B-rating_value
stars B-rating_unit
out O
of O
6 B-best_rating

i O
rate O
the O
saga B-object_part_of_series_type
wahhabi B-object_name
islam: I-object_name
from I-object_name
revival I-object_name
and I-object_name
reform I-object_name
to I-object_name
global I-object_name
jihad I-object_name
three B-rating_value
out O
of O
6 B-best_rating

give O
the O
current B-object_select
saga B-object_part_of_series_type
a O
three B-rating_value

give O
the B-object_name
denationalization I-object_name
of I-object_name
money I-object_name
series B-object_part_of_series_type
four B-rating_value
of O
6 B-best_rating

rate O
the B-object_name
myth I-object_name
of I-object_name
matriarchal I-object_name
prehistory I-object_name
series B-object_part_of_series_type
a O
four B-rating_value

rate O
the O
broke: B-object_name
who I-object_name
killed I-object_name
the I-object_name
middle I-object_name
classes I-object_name
chronicle B-object_part_of_series_type
a O
five B-rating_value

0 B-rating_value
stars B-rating_unit
for O
this O
current B-object_select
saga B-object_part_of_series_type

i O
give O
the O
saga B-object_part_of_series_type
to O
the B-object_name
woven I-object_name
path I-object_name
1 B-rating_value
stars B-rating_unit
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
this B-object_select
series B-object_part_of_series_type
4 B-rating_value
stars B-rating_unit

rate O
this B-object_select
chronicle B-object_part_of_series_type
a O
4 B-rating_value

rate O
the B-object_name
young I-object_name
elites I-object_name
series B-object_part_of_series_type
1 B-rating_value
of O
6 B-best_rating
points B-rating_unit

rate O
the O
current B-object_select
chronicle B-object_part_of_series_type
series I-object_part_of_series_type
4 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

give O
the O
current B-object_select
chronicle B-object_part_of_series_type
3 B-rating_value
of O
6 B-best_rating
stars B-rating_unit

give O
3 B-rating_value
out O
of O
6 B-best_rating
series B-object_part_of_series_type
of O
the B-object_name
africa I-object_name
house I-object_name

i O
award O
this O
next B-object_select
series B-object_part_of_series_type
0 B-rating_value
points B-rating_unit

i O
give O
the O
ways B-object_name
of I-object_name
escape I-object_name
chronicle B-object_part_of_series_type
zero B-rating_value
out O
of O
6 B-best_rating

rate O
the B-object_name
astonishing I-object_name
life I-object_name
of I-object_name
octavian I-object_name
nothing I-object_name
traitor I-object_name
to I-object_name
the I-object_name
nation I-object_name
volume I-object_name
ii: I-object_name
the I-object_name
kingdom I-object_name
on I-object_name
the I-object_name
waves I-object_name
series B-object_part_of_series_type
2 B-rating_value
points B-rating_unit

i O
would O
rate O
this B-object_select
chronicle B-object_part_of_series_type
a O
value O
of O
1 B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

give O
2 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
current B-object_select
chronicle B-object_part_of_series_type

i O
would O
rate O
the O
animal B-object_name
liberation I-object_name
chronicle B-object_part_of_series_type
0 B-rating_value
points B-rating_unit
and O
a O
best O
rating O
of O
6 B-best_rating

i O
rate O
the B-object_name
mathematical I-object_name
magpie I-object_name
chronicle B-object_part_of_series_type
a O
0 B-rating_value
of O
6 B-best_rating

i O
want O
to O
rate O
the O
children B-object_name
of I-object_name
this I-object_name
earth I-object_name
chronicle B-object_part_of_series_type
a O
rating O
value O
of O
1 B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
the O
current B-object_select
chronicle B-object_part_of_series_type
book B-object_type
three B-rating_value
points B-rating_unit

for O
the O
saga B-object_part_of_series_type
the B-object_name
end I-object_name
of I-object_name
a I-object_name
family I-object_name
story I-object_name
i O
give O
0 B-rating_value
stars B-rating_unit

rate O
the O
series B-object_part_of_series_type
the B-object_name
quantity I-object_name
theory I-object_name
of I-object_name
insanity I-object_name
1 B-rating_value

give O
0 B-rating_value
out O
of O
6 B-best_rating
star O
to O
religion B-object_name
and I-object_name
dharma I-object_name
series B-object_part_of_series_type

i O
want O
to O
give O
the O
current B-object_select
saga B-object_part_of_series_type
a O
five B-rating_value

give O
the O
current B-object_select
chronicle B-object_part_of_series_type
2 B-rating_value
stars B-rating_unit

the O
half-life B-object_name
chronicle B-object_part_of_series_type
deserves O
3 B-rating_value
points B-rating_unit

give O
the O
current B-object_select
series B-object_part_of_series_type
3 B-rating_value
points B-rating_unit

rate O
the O
bok O
series B-object_part_of_series_type
preparedness B-object_name
101: I-object_name
zombie I-object_name
apocalypse I-object_name
two B-rating_value
for O
6 B-best_rating
stars B-rating_unit

i O
would O
like O
to O
rate O
the O
current B-object_select
chronicle B-object_part_of_series_type
4 B-rating_value
to O
6 B-best_rating
stars B-rating_unit

rate O
the O
saga B-object_part_of_series_type
in B-object_name
mortal I-object_name
hands I-object_name
five B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
teh O
current B-object_select
series B-object_part_of_series_type
a O
2 B-rating_value

rate O
the O
beyonders: B-object_name
a I-object_name
world I-object_name
without I-object_name
heroes I-object_name
saga B-object_part_of_series_type
1 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
want O
to O
give O
the O
chronicle B-object_part_of_series_type
what B-object_name
we I-object_name
talk I-object_name
about I-object_name
when I-object_name
we I-object_name
talk I-object_name
about I-object_name
love I-object_name
4 B-rating_value
out O
of O
6 B-best_rating

i O
would O
give O
this O
current B-object_select
chronicle B-object_part_of_series_type
a O
value O
of O
4 B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
the O
chronicle B-object_part_of_series_type
tarzan B-object_name
the I-object_name
terrible I-object_name
a O
4 B-rating_value
out O
of O
6 B-best_rating

for O
this O
series B-object_part_of_series_type
the B-object_name
magical I-object_name
revival I-object_name
out O
of O
6 B-best_rating
give O
it O
a O
5 B-rating_value

give O
this O
a O
four B-rating_value
for O
the O
next B-object_select
series B-object_part_of_series_type
of O
points B-rating_unit

give O
the O
current B-object_select
series B-object_part_of_series_type
a O
two B-rating_value

i O
give O
the O
current B-object_select
chronicle B-object_part_of_series_type
one B-rating_value
of O
6 B-best_rating
stars B-rating_unit

i O
give O
the O
previous B-object_select
saga B-object_part_of_series_type
4 B-rating_value
out O
of O
6 B-best_rating

rate O
the B-object_name
taking I-object_name
series B-object_part_of_series_type
a O
zero B-rating_value
out O
of O
6 B-best_rating

rate O
the O
following B-object_select
series B-object_part_of_series_type
five B-rating_value
points B-rating_unit

give O
5 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
the B-object_name
intimidators I-object_name
chronicle B-object_part_of_series_type

give O
1 B-rating_value
points B-rating_unit
to O
the B-object_name
duel: I-object_name
pakistan I-object_name
on I-object_name
the I-object_name
flight I-object_name
path I-object_name
of I-object_name
american I-object_name
power I-object_name
saga B-object_part_of_series_type

the O
series B-object_part_of_series_type
city B-object_name
on I-object_name
fire I-object_name
is O
a O
four B-rating_value

i O
d O
rate O
the O
current B-object_select
chronicle B-object_part_of_series_type
2 B-rating_value
points B-rating_unit

rate O
the B-object_name
lost I-object_name
hero I-object_name
chronicle B-object_part_of_series_type
four B-rating_value
out O
of O
6 B-best_rating

give O
setting B-object_name
free I-object_name
the I-object_name
bears I-object_name
series B-object_part_of_series_type
a O
four B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
rating O

i O
give O
the B-object_name
lacuna I-object_name
a O
rating O
of O
5 B-rating_value
stars B-rating_unit
under O
the O
chronicle B-object_part_of_series_type
rated O
at O
6 B-best_rating

i O
d O
give O
the O
quotations B-object_name
from I-object_name
chairman I-object_name
mao I-object_name
tse-tung I-object_name
saga B-object_part_of_series_type
two B-rating_value
of O
6 B-best_rating
stars B-rating_unit

give O
the O
current B-object_select
chronicle B-object_part_of_series_type
three B-rating_value
points B-rating_unit

rate O
this B-object_select
chronicle B-object_part_of_series_type
3 B-rating_value
stars B-rating_unit

give O
upon B-object_name
some I-object_name
midnights I-object_name
clear I-object_name
chronicle B-object_part_of_series_type
four B-rating_value
out O
of O
6 B-best_rating
for O
a O
rating O

the O
chronicle B-object_part_of_series_type
of O
the B-object_name
emperor I-object_name
wears I-object_name
no I-object_name
clothes I-object_name
was O
too B-object_name
naive O
and O
simple O
i O
d O
give O
it O
1 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
give O
the O
knife B-object_name
of I-object_name
dreams I-object_name
saga B-object_part_of_series_type
a O
0 B-rating_value
of O
6 B-best_rating

rate O
current B-object_select
saga B-object_part_of_series_type
one B-rating_value
point O
out O
of O
6 B-best_rating

i O
give O
this B-object_select
series B-object_part_of_series_type
a O
value O
of O
one B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
this O
current B-object_select
saga B-object_part_of_series_type
one B-rating_value
points B-rating_unit

i O
want O
this B-object_select
chronicle B-object_part_of_series_type
to O
get O
a O
rating O
of O
4 B-rating_value

rate O
blood B-object_name
and I-object_name
gold I-object_name
saga B-object_part_of_series_type
0 B-rating_value
points B-rating_unit

rate O
a B-object_name
thousand I-object_name
lies I-object_name
series B-object_part_of_series_type
a O
3 B-rating_value

this O
chronicle B-object_part_of_series_type
rates O
a O
one B-rating_value
for O
first B-object_name
contact I-object_name

i O
am O
giving O
this O
current B-object_select
book B-object_type
under O
the O
series B-object_part_of_series_type
section O
one B-rating_value
stars B-rating_unit

rate O
the O
last B-object_select
saga B-object_part_of_series_type
3 B-rating_value

i O
want O
to O
rate O
the O
saga B-object_part_of_series_type
the B-object_name
italian I-object_name
two B-rating_value
to O
6 B-best_rating
points B-rating_unit

i O
give O
this B-object_select
series B-object_part_of_series_type
a O
one B-rating_value
out O
of O
6 B-best_rating

rate O
religion B-object_name
and I-object_name
dharma I-object_name
saga B-object_part_of_series_type
1 B-rating_value
points B-rating_unit

i O
would O
rate O
this B-object_select
book B-object_type
chronicle B-object_part_of_series_type
3 B-rating_value
out O
of O
5 B-rating_value
stars B-rating_unit

the B-object_name
young I-object_name
lion I-object_name
saga B-object_part_of_series_type
gets O
a O
solid O
4 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

i O
give O
the O
following B-object_select
saga B-object_part_of_series_type
a O
5 B-rating_value

give O
this B-object_select
series B-object_part_of_series_type
three B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

i O
would O
rate O
this O
current B-object_select
series B-object_part_of_series_type
i O
m O
reading O
a O
two B-rating_value
out O
of O
6 B-best_rating

find O
animated B-movie_type
movies I-movie_type
nearest B-spatial_relation
at O
a O
movie B-object_location_type
house I-object_location_type

find O
me O
showtimes O
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

in B-spatial_relation
the I-spatial_relation
area I-spatial_relation
find O
some O
films B-movie_type

what O
films B-movie_type
are O
playing O
at O
goodrich B-location_name
quality I-location_name
theaters I-location_name

what O
films B-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
with O
films B-movie_type

which O
films B-movie_type
are O
playing O
at O
malco B-location_name
theatres I-location_name

i O
d O
like O
to O
watch O
movies B-movie_type
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

what O
movies B-movie_type
are O
scheduled O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

what O
movies B-movie_type
are O
scheduled O
at O
plitt B-location_name
theatres I-location_name

find O
the O
nearest B-spatial_relation
movies B-movie_type
at O
a O
movie B-object_location_type
theatre I-object_location_type

find O
films B-movie_type
at O
alamo B-location_name
drafthouse I-location_name
cinema I-location_name

i O
want O
the O
film B-movie_type
for O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
that O
plays O
animated B-movie_type
movies I-movie_type

where O
is O
the O
closest B-spatial_relation
cinema B-object_location_type
that O
features O
animated B-movie_type
movies I-movie_type

what O
movies B-movie_type
are O
playing O
at O
southern B-location_name
theatres I-location_name

can O
i O
get O
the O
listings O
for O
the O
film B-movie_type
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

show O
me O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

show O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

what O
time O
do O
the O
movies B-movie_type
play O
at O
southern B-location_name
theatres I-location_name

what O
movies B-movie_type
are O
playing O
at O
regal B-location_name
entertainment I-location_name
group I-location_name

which O
movies B-movie_type
are O
playing O
at O
amc B-location_name
theaters I-location_name

list O
films B-movie_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

what O
films B-movie_type
are O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

what O
animated B-movie_type
movies I-movie_type
are O
there O
nearby B-spatial_relation

find O
the O
movie B-object_type
schedule I-object_type
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

find O
the O
movie B-object_type
schedule I-object_type
for O
movies B-movie_type
close B-spatial_relation
by I-spatial_relation

find O
a O
movie B-object_location_type
house I-object_location_type
nearest B-spatial_relation
for O
films B-movie_type

what O
time O
is O
the O
closet O
cinema B-object_location_type
playing O
movies B-movie_type
the O
closest B-spatial_relation

give O
me O
the O
schedule B-object_type
for O
animated B-movie_type
movies I-movie_type
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

i O
want O
to O
know O
the O
films B-movie_type
playing O
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
s O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
showing O
movies B-movie_type

i O
need O
a O
movie B-object_type
schedule I-object_type
for O
any O
films B-movie_type
playing O
close B-spatial_relation
by I-spatial_relation

what O
are O
the O
movie B-object_type
times I-object_type
for O
movies B-movie_type
close B-spatial_relation
by I-spatial_relation

what O
is O
the O
movie B-object_type
schedules I-object_type
for O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

what O
animated B-movie_type
movies I-movie_type
are O
playing O
amc B-location_name
theaters I-location_name

what O
animated B-movie_type
movies I-movie_type
are O
playing O
at O
dipson B-location_name
theatres I-location_name

what O
time O
are O
films B-movie_type
showing O
at O
kb B-location_name
theatres I-location_name

what O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
animated B-movie_type
movies I-movie_type

find O
out O
what O
films B-movie_type
are O
being O
played O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

give O
me O
the O
movie B-movie_type
listings O
at O
the O
closest B-spatial_relation
cinema B-object_location_type
please O

show O
movie B-object_type
times I-object_type
for O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

show O
me O
the O
movie B-object_type
schedule I-object_type
for O
nearby B-spatial_relation
movies B-movie_type

what O
is O
playing O
for O
movies B-movie_type
at O
b&b B-location_name
theatres I-location_name

what O
time O
are O
movies B-movie_type
showing O
at O
megaplex B-location_name
theatres I-location_name

what O
is O
the O
films B-movie_type
with O
movie B-object_type
times I-object_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

what O
are O
the O
movie B-object_type
times I-object_type
for O
movies B-movie_type
around B-spatial_relation
here I-spatial_relation

find O
a O
movie B-object_type
schedule I-object_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation
for O
animated B-movie_type
movies I-movie_type

what O
animated B-movie_type
movies I-movie_type
are O
playing O
at O
kb B-location_name
theatres I-location_name

what O
animated B-movie_type
movies I-movie_type
are O
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

find O
movie B-object_type
times I-object_type
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

i O
d O
like O
to O
watch O
movies B-movie_type
around B-spatial_relation
here I-spatial_relation
can O
i O
see O
the O
movie B-object_type
schedules I-object_type

what O
movies B-movie_type
are O
playing O
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

what O
films B-movie_type
are O
playing O
at O
marcus B-location_name
corporation I-location_name

find O
alamo B-location_name
drafthouse I-location_name
cinema I-location_name
with O
animated B-movie_type
movies I-movie_type

what O
are O
the O
movie B-object_type
schedules I-object_type
for O
movies B-movie_type
showing O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

show O
movie B-object_type
times I-object_type
of O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

what O
is O
the O
movie B-object_type
schedule I-object_type
for O
films B-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

show O
movie B-object_type
schedules I-object_type
of O
film B-movie_type
nearby B-spatial_relation

what O
film B-movie_type
is O
playing O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

find O
the O
movie B-object_type
schedules I-object_type
for O
nearby B-spatial_relation
movies B-movie_type

which O
animated B-movie_type
movies I-movie_type
are O
showing O
close B-spatial_relation
by I-spatial_relation

what O
time O
is O
movies B-movie_type
playing O
around B-spatial_relation
here I-spatial_relation

list O
films B-movie_type
at O
pacific B-location_name
theatres I-location_name

check O
movie B-object_type
schedules I-object_type
and O
find O
which O
animated B-movie_type
movies I-movie_type
are O
being O
aired O
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation
movie O
halls O

find O
the O
schedule B-object_type
for O
movies B-movie_type
at O
the O
megaplex B-location_name
theatres I-location_name

please O
find O
me O
the O
movies B-movie_type
playing O
nearby B-spatial_relation

are O
any O
films B-movie_type
play O
at O
the O
santikos B-location_name
theatres I-location_name

find O
kerasotes B-location_name
theatres I-location_name
showing O
animated B-movie_type
movies I-movie_type

show O
movie B-object_type
schedules I-object_type
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

find O
the O
schedule B-object_type
for O
films B-movie_type
at O
century B-location_name
theatres I-location_name

can O
i O
get O
the O
showtimes O
for O
films B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

what O
are O
the O
time O
for O
movies B-movie_type
playing O
at O
star B-location_name
theatres I-location_name

movie B-object_type
schedules I-object_type
for O
animated B-movie_type
movies I-movie_type
playing O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

what O
kind O
of O
films B-movie_type
are O
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

which O
movies B-movie_type
are O
showing O
at O
southern B-location_name
theatres I-location_name

find O
movies B-movie_type
with O
movie B-object_type
schedules I-object_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

what O
animated B-movie_type
movies I-movie_type
are O
playing O
nearby B-spatial_relation

what O
are O
some O
movies B-movie_type
playing O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

find O
close B-spatial_relation
by I-spatial_relation
movies B-movie_type
movie B-object_type
times I-object_type

show O
movie B-object_type
schedule I-object_type
and O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

what O
is O
the O
movie B-object_type
schedules I-object_type
for O
the O
movies B-movie_type
nearby B-spatial_relation
playing O
23 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

what O
is O
the O
movie B-object_type
schedule I-object_type
for O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

are O
there O
any O
films B-movie_type
around B-spatial_relation
here I-spatial_relation

find O
films B-movie_type
available O
at O
cooper B-location_name
foundation I-location_name

what O
animated B-movie_type
movies I-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

show O
movie B-object_type
times I-object_type
for O
animated B-movie_type
movies I-movie_type
nearby B-spatial_relation

what O
animated B-movie_type
movies I-movie_type
are O
showing O
at O
star B-location_name
theatres I-location_name

what O
animated B-movie_type
movies I-movie_type
are O
showing O
at O
loews B-location_name
cineplex I-location_name

what O
films B-movie_type
are O
showing O
at O
kerasotes B-location_name
theatres I-location_name

showtimes O
for O
movies B-movie_type
currently O
playing O
at O
speakeasy B-location_name
theaters I-location_name

show O
me O
the O
movie B-object_type
times I-object_type
for O
films B-movie_type
nearby B-spatial_relation

which O
films B-movie_type
are O
playing O
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation
one B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

find O
a O
movie B-object_location_type
theatre I-object_location_type
with O
animated B-movie_type
movies I-movie_type
that O
is O
closest B-spatial_relation
to O
me O

i O
d O
like O
the O
movie B-object_type
schedules I-object_type
nearby B-spatial_relation
me O
for O
animated B-movie_type
movies I-movie_type

what O
films B-movie_type
and O
movie B-object_type
schedule I-object_type
are O
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

where O
is O
the O
nearest B-spatial_relation
cinema B-object_location_type
that O
is O
playing O
films B-movie_type

can O
you O
give O
me O
the O
movie B-object_type
schedules I-object_type
for O
films B-movie_type
close B-spatial_relation
by I-spatial_relation

whats O
the O
closest B-spatial_relation
cinema B-object_location_type
that O
shows O
movies B-movie_type
at O
12 B-timeRange
a I-timeRange
m I-timeRange

find O
out O
what O
films B-movie_type
are O
playing O
at O
north B-location_name
american I-location_name
cinemas I-location_name

i O
want O
to O
book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
our B-poi
college I-poi

what O
is O
the O
weather O
not B-spatial_relation
far I-spatial_relation
from O
upper B-geographic_poi
klamath I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

weather O
for O
close-by B-spatial_relation
parc B-geographic_poi
national I-geographic_poi
de I-geographic_poi
kolkheti I-geographic_poi

what O
s O
the O
weather O
forecast O
not B-spatial_relation
far I-spatial_relation
from O
here B-current_location

what O
is O
the O
weather O
forecast O
close B-spatial_relation
to O
puerto B-country
rico I-country

find O
a O
restaurant B-restaurant_type
for O
marylou B-party_size_description
and I-party_size_description
i I-party_size_description
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
my B-poi
mum I-poi
s I-poi
hotel I-poi

me B-party_size_description
and I-party_size_description
my I-party_size_description
niece I-party_size_description
want O
to O
eat O
somewhere O
close B-spatial_relation
by I-spatial_relation
hopatcong B-poi

is O
it O
going O
to O
be O
cold B-condition_temperature
once O
i O
get O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
my O
home O
in O
new B-country
caledonia I-country

i O
m O
looking O
to O
book O
a O
reservation O
in O
aruba B-country
at O
a O
place O
nearby B-spatial_relation

how O
is O
the O
humidity B-condition_description
near B-spatial_relation
my O
current B-current_location
place I-current_location

i O
need O
to O
book O
a O
table O
at O
a O
nearby B-spatial_relation
restaurant B-restaurant_type

i O
want O
to O
book O
a O
bar B-restaurant_type
neighboring B-spatial_relation
our B-poi
apartment I-poi

i O
need O
reservations O
at O
khedive B-restaurant_name
palace I-restaurant_name
that O
s O
close B-spatial_relation
in B-poi
town I-poi

what O
s O
the O
weather O
far B-spatial_relation
away O
in O
estonia B-country

what O
is O
the O
storm B-condition_description
forecast O
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
honduras B-country

what O
s O
the O
weather O
in O
close B-spatial_relation
by I-spatial_relation
my O
current B-current_location
position I-current_location

book O
a O
table O
in O
fleetwood B-poi
at O
a O
nearby B-spatial_relation
deli O

book O
me O
a O
reestaurant O
that O
is O
close B-spatial_relation
in O
the O
country O
of O
cocos B-country
islands I-country

book O
a O
table O
in O
fairview B-poi
neighboring B-spatial_relation
the O
area B-spatial_relation

what O
is O
the O
forecast O
for O
the O
wildreservaat B-geographic_poi
ithala I-geographic_poi
in O
the O
distant B-spatial_relation
future O
will O
it O
be O
colder B-condition_temperature

i O
d O
like O
to O
eat O
at O
a O
restaurant B-restaurant_type
far B-spatial_relation
from O
grantsburg B-city

what O
s O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
the B-movie_name
hard I-movie_name
way I-movie_name

what O
is O
the O
weather O
forecast O
close-by B-spatial_relation
bermuda B-country

i O
want O
to O
book O
a O
restaurant B-restaurant_type
neighboring B-spatial_relation
livonia B-poi
av I-poi

find O
me O
the O
showtimes O
for O
until B-movie_name
death I-movie_name
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

book O
a O
table O
for O
two B-party_size_number
at O
a O
restaurant B-restaurant_type
faraway B-spatial_relation
from O
office B-poi
in O
california B-state

i O
m O
looking O
to O
get O
reservations O
for O
me B-party_size_description
jillian I-party_size_description
and I-party_size_description
louella I-party_size_description
at O
a O
restaurant B-restaurant_type
that O
is O
faraway B-spatial_relation
from O
tx B-state

can O
i O
get O
a O
table O
for O
3 B-party_size_number
in O
gu B-state
at O
a O
restaurant B-restaurant_type
in O
the O
neighboring B-spatial_relation
area I-spatial_relation
that O
serves O
chicken B-served_dish
french I-served_dish

is O
it O
going O
to O
be O
hotter B-condition_temperature
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
ohio B-state
on O
3/22/2038 B-timeRange

when O
is O
blood B-movie_name
and I-movie_name
ice I-movie_name
cream-trilogie I-movie_name
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

i O
want O
to O
book O
a O
close B-spatial_relation
restaurant B-restaurant_type
in O
sc B-state
for O
seven B-party_size_number

i O
want O
tables O
for O
6 B-party_size_number
at O
a O
kosher B-cuisine
steakhouse B-restaurant_type
around B-spatial_relation
kosovo B-country

book O
a O
table O
for O
eight B-party_size_number
in O
graf B-city
far B-spatial_relation
away O

find O
a O
cinema B-object_location_type
showing O
the B-movie_name
mandrake I-movie_name
nearest B-spatial_relation
at O
one B-timeRange
o I-timeRange
clock I-timeRange

what O
s O
the O
weather O
going O
to O
be O
like O
at O
10:21:20 B-timeRange
close B-spatial_relation
by I-spatial_relation
id B-state

what O
is O
the O
forecast O
for O
colder B-condition_temperature
conditions O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
this O
current B-current_location
place I-current_location

is O
the B-movie_name
big I-movie_name
job I-movie_name
playing O
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

what O
is O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
showing O
in B-movie_name
pursuit I-movie_name
of I-movie_name
honor I-movie_name

find O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

what O
will O
the O
weather O
be O
here B-current_location
14 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation

show O
me O
the O
forecast O
for O
the O
distant B-spatial_relation
area I-spatial_relation
of O
me B-state
at O
three B-timeRange
pm I-timeRange

book O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
earls B-poi
court I-poi
for O
lucille B-party_size_description
and I-party_size_description
marina I-party_size_description

will O
there O
be O
fog B-condition_description
not B-spatial_relation
far I-spatial_relation
from O
mexico B-country
on O
apr B-timeRange
27 I-timeRange

i O
need O
a O
reservation O
for O
3 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
with O
a O
party O
of O
nine B-party_size_number
in O
neighboring B-spatial_relation
sweden B-country

i O
d O
like O
to O
see O
the O
movie B-object_type
schedule I-object_type
for O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

find O
movie B-object_type
schedules I-object_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation
for O
movies B-movie_type

what O
time O
are O
films B-movie_type
showing O
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

i O
d O
like O
to O
know O
the O
movie B-object_type
times I-object_type
for O
movies B-movie_type
nearby B-spatial_relation
me O

what O
is O
the O
weather O
not B-spatial_relation
far I-spatial_relation
from O
current B-current_location
position I-current_location

find O
the O
movie B-object_type
schedule I-object_type
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

what O
s O
the O
weather O
close B-spatial_relation
to O
harmar B-city
heights I-city
this O
afternoon B-timeRange

find O
the O
closest B-spatial_relation
cinema B-object_location_type
for O
films B-movie_type

i O
d O
like O
to O
watch O
health B-movie_name
warning I-movie_name
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
are O
the O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation
for O
the O
recent O
movie B-object_type
times I-object_type

where O
is O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
that O
s O
playing O
the B-movie_name
mark I-movie_name

let O
me O
know O
the O
movie B-object_type
times I-object_type
for O
films B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

can O
i O
get O
the O
showtimes O
for O
films B-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

book O
a O
reservation O
for O
a O
southern B-cuisine
brazilian I-cuisine
restaurant B-restaurant_type
for O
10 B-party_size_number
people O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
broadway-lafayette B-poi
st I-poi

find O
movie B-object_type
schedules I-object_type
for O
movies B-movie_type
around B-spatial_relation
here I-spatial_relation
at O
nineteen B-timeRange
o I-timeRange
clock I-timeRange

what O
are O
the O
movie B-object_type
times I-object_type
for O
films B-movie_type
playing O
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

this B-timeRange
winter I-timeRange
meredith B-party_size_description
betty I-party_size_description
and I-party_size_description
erika I-party_size_description
want O
to O
food O
at O
a O
gastropub B-restaurant_type
that O
is O
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
fran B-poi
s I-poi
location I-poi

make O
a O
reservation O
far B-spatial_relation
away O
at O
the B-restaurant_name
spotted I-restaurant_name
pig I-restaurant_name
in O
sd B-state

where O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
showing O
movies B-movie_type

will O
the O
weather O
be O
the O
same B-spatial_relation
here B-current_location
in B-timeRange
one I-timeRange
week I-timeRange
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

what O
s O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
playing O
testament B-movie_name
of I-movie_name
orpheus I-movie_name

book O
a O
spot O
at O
a O
restaurant B-restaurant_type
with O
wifi B-facility
that O
is O
neighboring B-spatial_relation
suriname B-country

what O
s O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
their B-movie_name
last I-movie_name
love I-movie_name
affair I-movie_name

what O
movie B-object_type
schedules I-object_type
are O
animated B-movie_type
movies I-movie_type
close B-spatial_relation
by I-spatial_relation

book O
me O
a O
diner B-restaurant_type
close-by B-spatial_relation
benin B-country
that O
serves O
strolghino B-served_dish
for O
eight B-party_size_number
people O

book O
a O
restaurant B-restaurant_type
near B-spatial_relation
the O
city B-poi
of I-poi
wakefield I-poi
for O
5 B-party_size_number
people O

in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation
find O
movies B-movie_type
with O
movie B-object_type
times I-object_type

is O
the B-movie_name
tender I-movie_name
years I-movie_name
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

i O
d O
like O
to O
eat O
in B-timeRange
1 I-timeRange
minute I-timeRange
at O
a O
neighboring B-spatial_relation
neighborhood B-poi
restaurant B-restaurant_type

anything B-restaurant_name
close B-spatial_relation
to O
smith-9th B-poi
st I-poi
that O
can O
seat O
two B-party_size_number
people O
about O
one B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange

i O
d O
like O
to O
book O
at O
a O
place O
in O
ar B-state
looking O
for O
an O
oyster B-restaurant_type
bar I-restaurant_type
that O
is O
indoor B-facility
and O
can O
accommodate O
a O
party O
of O
eight B-party_size_number
that O
is O
also O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation

what O
s O
the O
weather O
like O
nearby B-spatial_relation
in O
rhode B-state
island I-state

i O
need O
movie B-object_type
times I-object_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation
for O
any O
type O
of O
movies B-movie_type

susanne B-party_size_description
and I-party_size_description
carey I-party_size_description
phillips I-party_size_description
want O
to O
go O
to O
a O
brasserie B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
pricedale B-city
that O
serves O
southern B-cuisine
brazilian I-cuisine

where O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
playing O
the B-movie_name
sword I-movie_name
of I-movie_name
many I-movie_name
lovers I-movie_name

need O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
playing O
the B-movie_name
flamingo I-movie_name
rising I-movie_name

will O
it O
be O
hot B-condition_temperature
near B-spatial_relation
calakmul B-geographic_poi
biosphere I-geographic_poi
reserve I-geographic_poi
3 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

show O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
to O
watch O
black B-movie_name
jesus I-movie_name

find O
the B-movie_name
swindlers I-movie_name
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

she O
me O
movie B-object_type
schedules I-object_type
for O
the O
movies B-movie_type
close B-spatial_relation
by I-spatial_relation
at O
sunset B-timeRange

what O
movies B-movie_type
are O
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

will O
it O
be O
foggy B-condition_description
now B-timeRange
close B-spatial_relation
to O
jolley B-city

i O
d O
like O
to O
eat O
around B-spatial_relation
id B-state
on O
august B-timeRange
the I-timeRange
16th I-timeRange
with O
a O
party O
of O
8 B-party_size_number

book O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
ely B-city
for O
10 B-party_size_number
people O

when O
will O
the B-movie_name
boys I-movie_name
next I-movie_name
door I-movie_name
be O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

is O
it O
snowy B-condition_description
in O
audra B-geographic_poi
state I-geographic_poi
park I-geographic_poi
or O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

what O
is O
the O
movie B-object_type
schedule I-object_type
of O
animated B-movie_type
movies I-movie_type
nearby B-spatial_relation

find O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
dangers B-movie_name
of I-movie_name
the I-movie_name
canadian I-movie_name
mounted I-movie_name

can O
i O
get O
the O
movie B-object_type
schedule I-object_type
for O
films B-movie_type
nearby B-spatial_relation

whats O
the O
movie B-object_type
schedule I-object_type
for O
movies B-movie_type
nearby B-spatial_relation

i O
need O
a O
reservation O
for O
blue B-restaurant_name
ribbon I-restaurant_name
barbecue I-restaurant_name
far B-spatial_relation
from O
ny B-state
for O
a O
party O
of O
10 B-party_size_number

what O
films B-movie_type
are O
playing O
around B-spatial_relation
here I-spatial_relation

i O
need O
to O
go O
to O
a O
restaurant B-restaurant_type
a O
safe O
distant B-spatial_relation
from O
the O
united B-country
states I-country

when O
is O
youth B-movie_name
without I-movie_name
youth I-movie_name
being O
shown O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

movie B-object_type
schedule I-object_type
of O
films B-movie_type
around B-spatial_relation
here I-spatial_relation

find O
the O
nearest B-spatial_relation
animated B-movie_type
movies I-movie_type
at O
a O
movie B-object_location_type
theatre I-object_location_type

will O
it O
storm B-condition_description
in O
charles B-geographic_poi
pinckney I-geographic_poi
national I-geographic_poi
historic I-geographic_poi
site I-geographic_poi

what O
is O
the O
weather O
in O
sehlabathebe-nationalpark B-geographic_poi

is O
cape B-geographic_poi
mount I-geographic_poi
nature I-geographic_poi
conservation I-geographic_poi
unit I-geographic_poi
has O
storm B-condition_description
weather O

will O
it O
get O
warmer B-condition_temperature
in O
holy B-geographic_poi
cross I-geographic_poi
wilderness I-geographic_poi

is O
it O
going O
to O
be O
warmer B-condition_temperature
in O
central B-geographic_poi
cebu I-geographic_poi
protected I-geographic_poi
landscape I-geographic_poi

weather O
for O
turtle B-geographic_poi
river I-geographic_poi
state I-geographic_poi
park I-geographic_poi

will O
it O
be O
getting O
warmer B-condition_temperature
in O
rainbow B-geographic_poi
falls I-geographic_poi
provincial I-geographic_poi
park I-geographic_poi

is O
it O
chillier B-condition_temperature
at O
narew B-geographic_poi
national I-geographic_poi
park I-geographic_poi

will O
it O
be O
colder B-condition_temperature
in O
tallgrass B-geographic_poi
prairie I-geographic_poi
national I-geographic_poi
preserve I-geographic_poi

will O
it O
be O
snowy B-condition_description
in O
florewood B-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
s O
the O
forecast O
for O
pipe B-geographic_poi
spring I-geographic_poi
national I-geographic_poi
monument I-geographic_poi

what O
will O
the O
weather O
be O
in O
the O
flight B-geographic_poi
park I-geographic_poi
state I-geographic_poi
recreation I-geographic_poi
area I-geographic_poi

what O
s O
the O
forecast O
in O
klamath B-geographic_poi
marsh I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

give O
me O
weather O
information O
for O
porcupine B-geographic_poi
mountains I-geographic_poi

what O
is O
the O
weather O
like O
in O
great B-geographic_poi
bay I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

will O
it O
be O
hotter B-condition_temperature
in O
san B-geographic_poi
valley I-geographic_poi
landscape I-geographic_poi
park I-geographic_poi
on O
june B-timeRange
24 I-timeRange
2024 I-timeRange

what O
is O
the O
weather O
in O
forêt B-geographic_poi
nationale I-geographic_poi
davy I-geographic_poi
crockett I-geographic_poi
today B-timeRange

will O
it O
be O
warm B-condition_temperature
in O
chicamocha B-geographic_poi
national I-geographic_poi
park I-geographic_poi

what O
is O
the O
forecast O
for O
sanilac B-geographic_poi
petroglyphs I-geographic_poi
historic I-geographic_poi
state I-geographic_poi
park I-geographic_poi

tell O
me O
the O
weather O
forecast O
for O
murone B-geographic_poi
kōgen I-geographic_poi
prefectural I-geographic_poi
natural I-geographic_poi
park I-geographic_poi
at O
elevenses B-timeRange

is O
it O
freezing B-condition_temperature
at O
jasmund B-geographic_poi
national I-geographic_poi
park I-geographic_poi

what O
is O
the O
nine B-timeRange
am I-timeRange
weather O
forecast O
for O
nationalpark B-geographic_poi
midongy I-geographic_poi
du I-geographic_poi
sud I-geographic_poi

weather O
on O
croatan B-geographic_poi
national I-geographic_poi
forest I-geographic_poi
on O
jan B-timeRange
21 I-timeRange

is O
it O
going O
to O
be O
temperate B-condition_temperature
in O
farallon B-geographic_poi
islands I-geographic_poi
now B-timeRange

will O
the O
weather O
be O
warm B-condition_temperature
in O
the O
nationaal B-geographic_poi
park I-geographic_poi
band-e I-geographic_poi
amir I-geographic_poi
at O
twelve B-timeRange
am I-timeRange

will O
there O
be O
cloud B-condition_description
coverage O
at O
zero B-timeRange
am I-timeRange
in O
minami B-geographic_poi
alps I-geographic_poi
koma I-geographic_poi
prefectural I-geographic_poi
natural I-geographic_poi
park I-geographic_poi

will O
there O
be O
hail B-condition_description
in O
dean B-geographic_poi
creek I-geographic_poi
wildlife I-geographic_poi
area I-geographic_poi
on O
feb B-timeRange
25 I-timeRange
2031 I-timeRange

on O
oct B-timeRange
26 I-timeRange
i O
will O
need O
to O
make O
reservations O
to O
eat O
in O
halibut B-geographic_poi
point I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
is O
the O
7 B-timeRange
day B-timeRange
for O
cheat B-geographic_poi
canyon I-geographic_poi
wildlife I-geographic_poi
management I-geographic_poi
area I-geographic_poi

what O
will O
the O
weather O
be O
nineteen B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange
from O
the O
little B-geographic_poi
manatee I-geographic_poi
river I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
is O
the O
weather O
like O
at O
basaseachic B-geographic_poi
falls I-geographic_poi
national I-geographic_poi
park I-geographic_poi

show O
the O
forecast O
for O
tanintharyi B-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi

what O
will O
the O
weather O
forecast O
be O
during O
the O
kent B-timeRange
state I-timeRange
shootings I-timeRange
remembrance I-timeRange
in O
el B-geographic_poi
cocuy I-geographic_poi
national I-geographic_poi
park I-geographic_poi

i O
need O
a O
weather O
forecast O
for O
tallahassee-st B-geographic_poi
marks I-geographic_poi
historic I-geographic_poi
railroad I-geographic_poi
state I-geographic_poi
trail I-geographic_poi

i O
need O
to O
know O
the O
weather O
seven B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
morgan–monroe B-geographic_poi
state I-geographic_poi
forest I-geographic_poi

is O
it O
foggy B-condition_description
in O
phinizy B-geographic_poi
swamp I-geographic_poi
nature I-geographic_poi
park I-geographic_poi

weather O
for O
douthat B-geographic_poi
state I-geographic_poi
park I-geographic_poi
on O
mar B-timeRange
10 I-timeRange

what O
will O
the O
weather O
be O
a O
nine B-timeRange
in O
willow B-geographic_poi
river I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
is O
the O
weather O
forecast O
for O
shasha B-geographic_poi
forest I-geographic_poi
reserve I-geographic_poi
in B-timeRange
43 I-timeRange
weeks I-timeRange

tell O
me O
if O
it O
ll O
be O
colder B-condition_temperature
in O
steptoe B-geographic_poi
battlefield I-geographic_poi
state I-geographic_poi
park I-geographic_poi
in B-timeRange
one I-timeRange
minute I-timeRange

check O
the O
forecast O
for O
natchaug B-geographic_poi
state I-geographic_poi
forest I-geographic_poi

weather O
for O
9/3/2034 B-timeRange
at O
bridle B-geographic_poi
trails I-geographic_poi
state I-geographic_poi
park I-geographic_poi

is O
it O
getting O
colder B-condition_temperature
in O
leonard B-geographic_poi
harrison I-geographic_poi
state I-geographic_poi
park I-geographic_poi

will O
it O
be O
windy B-condition_description
at O
7 B-timeRange
am I-timeRange
in O
dong B-geographic_poi
phou I-geographic_poi
vieng I-geographic_poi
national I-geographic_poi
protected I-geographic_poi
area I-geographic_poi

what O
will O
the O
weather O
be O
like O
tonight B-timeRange
at O
greenfoot B-geographic_poi
quarry I-geographic_poi

book O
a O
restaurant O
1 B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
in O
dorchester B-geographic_poi
shores I-geographic_poi
reservation I-geographic_poi

what O
is O
the O
weather O
forecast O
for O
july B-timeRange
20 I-timeRange
2020 I-timeRange
in O
dachigam-nationalpark B-geographic_poi

show O
weather O
forecast O
for O
dovre-nationalpark B-geographic_poi

give O
me O
the O
weather O
forecast O
for O
nationaal B-geographic_poi
park I-geographic_poi
garphyttan I-geographic_poi

i O
need O
to O
know O
the O
weather O
at O
the O
queen B-geographic_poi
elizabeth I-geographic_poi
national I-geographic_poi
park I-geographic_poi

how O
temperate B-condition_temperature
will O
it O
be O
in O
blyde B-geographic_poi
river I-geographic_poi
canyon I-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi
on O
jul B-timeRange
the I-timeRange
18th I-timeRange

what O
is O
the O
baotianman B-geographic_poi
national I-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi
forecast O

is O
it O
going O
to O
be O
windy B-condition_description
faraway B-spatial_relation
from O
the O
valley B-geographic_poi
of I-geographic_poi
fire I-geographic_poi

tell O
me O
if O
it O
will O
it O
be O
windy B-condition_description
in O
grizzled B-geographic_poi
squirrel I-geographic_poi
wildlife I-geographic_poi
sanctuary I-geographic_poi

will O
it O
rain B-condition_description
17 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
teide B-geographic_poi
national I-geographic_poi
park I-geographic_poi

what O
will O
the O
weather O
be O
in O
catahoula B-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

tell O
me O
the O
weather O
forecast O
1 B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
in O
big B-geographic_poi
thicket I-geographic_poi
national I-geographic_poi
preserve I-geographic_poi

what O
is O
the O
forecast O
for O
dr B-geographic_poi
julian I-geographic_poi
g I-geographic_poi
bruce I-geographic_poi
st I-geographic_poi
george I-geographic_poi
island I-geographic_poi
state I-geographic_poi
park I-geographic_poi
for O
rainy B-condition_description
weather O

will O
it O
be O
chilly B-condition_temperature
in B-timeRange
two I-timeRange
hundred I-timeRange
thirteen I-timeRange
days I-timeRange
at O
dochū-kōtsu B-geographic_poi
prefectural I-geographic_poi
natural I-geographic_poi
park I-geographic_poi

weather O
for O
now B-timeRange
in O
cape B-geographic_poi
romain I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

will O
it O
be O
colder B-condition_temperature
at O
five B-timeRange
o I-timeRange
clock I-timeRange
at O
the O
apolobamba B-geographic_poi
integrated I-geographic_poi
management I-geographic_poi
natural I-geographic_poi
area I-geographic_poi

how O
chilly B-condition_temperature
will O
it O
be O
at O
09:32:06 B-timeRange
am I-timeRange
in O
moncove B-geographic_poi
lake I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
s O
the O
weather O
going O
to O
be O
like O
in O
fort B-geographic_poi
point I-geographic_poi
san I-geographic_poi
francisco I-geographic_poi
tomorrow B-timeRange

will O
it O
be O
hot B-condition_temperature
three B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
faraway B-spatial_relation
from O
saint B-geographic_poi
croix I-geographic_poi
state I-geographic_poi
park I-geographic_poi

is O
it O
snowy B-condition_description
in O
fort B-geographic_poi
ross I-geographic_poi
state I-geographic_poi
historic I-geographic_poi
park I-geographic_poi

i O
need O
the O
weather O
at O
noon B-timeRange
for O
e B-geographic_poi
a I-geographic_poi
vaughn I-geographic_poi
wildlife I-geographic_poi
management I-geographic_poi
area I-geographic_poi

tell O
me O
if O
it O
ll O
be O
snowy B-condition_description
in O
coastal B-geographic_poi
landscape I-geographic_poi
park I-geographic_poi
on O
october B-timeRange
2 I-timeRange
2027 I-timeRange

how O
will O
the O
weather O
be O
in O
bhutto B-geographic_poi
family I-geographic_poi
mausoleum I-geographic_poi
next B-timeRange
autumn I-timeRange

what O
will O
the O
weather O
be O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
weir B-geographic_poi
farm I-geographic_poi
national I-geographic_poi
historic I-geographic_poi
site I-geographic_poi

will O
there O
be O
sun B-condition_description
at O
four B-timeRange
pm I-timeRange
at O
runkaus B-geographic_poi
strict I-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi

is O
it O
going O
to O
be O
hot B-condition_temperature
in O
luambe-nationalpark B-geographic_poi

is O
it O
warmer B-condition_temperature
in O
lothian B-geographic_poi
island I-geographic_poi
wildlife I-geographic_poi
sanctuary I-geographic_poi

will O
it O
be O
warmer B-condition_temperature
in B-timeRange
20 I-timeRange
minutes I-timeRange
at O
natural B-geographic_poi
park I-geographic_poi
of I-geographic_poi
las I-geographic_poi
batuecas I-geographic_poi

what O
will O
the O
weather O
be O
at O
mu B-geographic_poi
ko I-geographic_poi
phetra I-geographic_poi
national I-geographic_poi
park I-geographic_poi
on O
administrative B-timeRange
professionals I-timeRange
day I-timeRange

what O
s O
the O
weather O
going O
to O
be O
like O
around B-spatial_relation
lewis B-geographic_poi
and I-geographic_poi
clark I-geographic_poi
trail I-geographic_poi
sixteen B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

will O
there O
be O
a O
snowstorm B-condition_description
in O
william B-geographic_poi
b I-geographic_poi
ide I-geographic_poi
adobe I-geographic_poi
state I-geographic_poi
historic I-geographic_poi
park I-geographic_poi

show O
the O
forecast O
for O
moonlight B-geographic_poi
beach I-geographic_poi
at O
10/4/2021 B-timeRange

what O
will O
the O
weather O
be O
in O
meeres-nationalpark B-geographic_poi
insel I-geographic_poi
bastimentos I-geographic_poi
at O
twelve B-timeRange
pm I-timeRange

what O
will O
be O
the O
temperate B-condition_temperature
in O
tyresta B-geographic_poi
national I-geographic_poi
park I-geographic_poi
on O
7/18/2030 B-timeRange

what O
will O
the O
temperature O
be O
like O
at O
fort B-geographic_poi
point I-geographic_poi
san I-geographic_poi
francisco I-geographic_poi
the B-timeRange
day I-timeRange
after I-timeRange
tomorrow I-timeRange

is O
it O
rainy B-condition_description
at O
the O
edward B-geographic_poi
l I-geographic_poi
ryerson I-geographic_poi
conservation I-geographic_poi
area I-geographic_poi

is O
it O
going O
to O
hail B-condition_description
in O
mount B-geographic_poi
san I-geographic_poi
jacinto I-geographic_poi
state I-geographic_poi
park I-geographic_poi

show O
weather O
forcast O
for O
t B-geographic_poi
h I-geographic_poi
stone I-geographic_poi
memorial I-geographic_poi
st I-geographic_poi
joseph I-geographic_poi
peninsula I-geographic_poi
state I-geographic_poi
park I-geographic_poi
on O
one B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange

whats O
the O
temperature O
not B-spatial_relation
far I-spatial_relation
from O
valley B-geographic_poi
of I-geographic_poi
fire I-geographic_poi

will O
there O
be O
a O
snowstorm B-condition_description
in B-timeRange
eight I-timeRange
months I-timeRange
at O
chattahoochee B-geographic_poi
river I-geographic_poi
national I-geographic_poi
recreation I-geographic_poi
area I-geographic_poi

what O
will O
the O
weather O
be O
like O
on O
feb B-timeRange
sixth I-timeRange
2024 I-timeRange
at O
blanco B-geographic_poi
state I-geographic_poi
park I-geographic_poi

will O
it O
be O
sunny B-condition_description
one B-timeRange
hundred I-timeRange
thirty I-timeRange
five I-timeRange
days I-timeRange
from I-timeRange
now I-timeRange
in O
monterey B-geographic_poi
bay I-geographic_poi
national I-geographic_poi
marine I-geographic_poi
sanctuary I-geographic_poi

will O
the O
weather O
be O
okay O
in O
northern B-geographic_poi
luzon I-geographic_poi
heroes I-geographic_poi
hill I-geographic_poi
national I-geographic_poi
park I-geographic_poi
4 B-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

is O
the O
weather O
hotter B-condition_temperature
in O
old B-geographic_poi
furnace I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
s O
the O
weather O
going O
to O
be O
like O
tomorrow B-timeRange
at O
black B-geographic_poi
hawk I-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
is O
the O
weather O
forecast O
going O
to O
be O
on O
august B-timeRange
15 I-timeRange
2038 I-timeRange
for O
hoffman B-geographic_poi
hills I-geographic_poi
state I-geographic_poi
recreation I-geographic_poi
area I-geographic_poi

what O
s O
the O
weather O
forecast O
for O
nishi B-geographic_poi
sonogi I-geographic_poi
hantō I-geographic_poi
prefectural I-geographic_poi
natural I-geographic_poi
park I-geographic_poi
three B-timeRange
years I-timeRange
from I-timeRange
now I-timeRange

is O
there O
going O
to O
be O
a O
depression B-condition_description
in O
point B-geographic_poi
washington I-geographic_poi
state I-geographic_poi
forest I-geographic_poi

will O
it O
be O
warmer B-condition_temperature
in O
ristigouche B-geographic_poi
ecological I-geographic_poi
reserve I-geographic_poi
on O
nov B-timeRange
the I-timeRange
twentieth I-timeRange

i O
need O
the O
forecast O
for O
close B-spatial_relation
by I-spatial_relation
becharof B-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi
in B-timeRange
nine I-timeRange
months I-timeRange

is O
it O
going O
to O
be O
foggy B-condition_description
in O
jewell B-geographic_poi
cemetery I-geographic_poi
state I-geographic_poi
historic I-geographic_poi
site I-geographic_poi
7 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange

will O
it O
be O
warm B-condition_temperature
at O
tembe B-geographic_poi
elephant I-geographic_poi
park I-geographic_poi
on O
san B-timeRange
jacinto I-timeRange
day I-timeRange

will O
it O
snowstorm B-condition_description
in O
lampi B-geographic_poi
island I-geographic_poi
marine I-geographic_poi
national I-geographic_poi
park I-geographic_poi

weather O
in B-timeRange
3 I-timeRange
minutes I-timeRange
at O
jean B-geographic_poi
lafitte I-geographic_poi
national I-geographic_poi
historical I-geographic_poi
park I-geographic_poi
and I-geographic_poi
preserve I-geographic_poi

what O
is O
the O
eugene B-geographic_poi
t I-geographic_poi
mahoney I-geographic_poi
state I-geographic_poi
park I-geographic_poi
forecast O
for O
2 B-timeRange
days I-timeRange
from I-timeRange
now I-timeRange

book O
a O
reservation O
for O
a O
pub B-restaurant_type
with O
ma B-served_dish
po I-served_dish
tofu I-served_dish
in O
moldova B-country

book O
a O
spot O
at O
a O
taverna B-restaurant_type
for O
my B-party_size_description
cousin I-party_size_description
and I-party_size_description
i I-party_size_description
in O
burundi B-country

i O
want O
to O
reserve O
a O
gastropub B-restaurant_type
that O
has O
a O
spa B-facility

restaurant B-restaurant_type
in O
niger B-country
for O
my B-party_size_description
mom I-party_size_description
and I-party_size_description
i I-party_size_description

please O
get O
me O
a O
reservation O
at O
a O
restaurant B-restaurant_type
with O
a O
pool B-facility
for O
manuela B-party_size_description
and I-party_size_description
yvonne I-party_size_description

i O
need O
a O
diner B-restaurant_type

please O
book O
a O
coffeehouse B-restaurant_type
restaurant I-restaurant_type
type O
room O
to O
accommodate O
gretchen B-party_size_description
trisha I-party_size_description
and I-party_size_description
amber I-party_size_description
which O
serves O
pastelaria B-cuisine
dish O

book O
a O
spot O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
sister I-party_size_description
at O
a O
restaurant B-restaurant_type
that O
has O
clafoutis B-served_dish

book O
a O
restaurant B-restaurant_type

nancy B-party_size_description
elma I-party_size_description
ruiz I-party_size_description
and I-party_size_description
molly I-party_size_description
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
in O
gibraltar B-country

can O
i O
get O
some O
russian B-cuisine
cuisine O
at O
a O
restaurant B-restaurant_type
with O
shari B-party_size_description
and I-party_size_description
i I-party_size_description

book O
table O
to O
a O
tavern B-restaurant_type
for O
a O
scrapple B-served_dish
for O
harriett B-party_size_description
deanne I-party_size_description
and I-party_size_description
i I-party_size_description

i O
need O
a O
table O
at O
a O
brasserie B-restaurant_type
in O
belgium B-country

i O
need O
a O
reservation O
for O
a O
gastropub B-restaurant_type
that O
serves O
a O
maple B-served_dish
bacon I-served_dish
donut I-served_dish

i O
m O
looking O
to O
get O
a O
seat O
at O
a O
brasserie B-restaurant_type
in O
togo B-country

i O
want O
to O
take O
my B-party_size_description
mom I-party_size_description
and I-party_size_description
i I-party_size_description
to O
the O
tea B-restaurant_type
house I-restaurant_type

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
for O
kirsten B-party_size_description
morris I-party_size_description
and I-party_size_description
i I-party_size_description

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
serving O
carne B-served_dish
pizzaiola I-served_dish
for O
tamra B-party_size_description
davis I-party_size_description
viola I-party_size_description
and I-party_size_description
dorothea I-party_size_description

book O
cornelia B-party_size_description
and I-party_size_description
bettie I-party_size_description
a O
table O
at O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type
in O
colombia B-country

book O
reservations O
at O
a O
restaurant B-restaurant_type
in O
niue B-country
for O
me B-party_size_description
edna I-party_size_description
and I-party_size_description
glenda I-party_size_description

book O
a O
table O
for O
a O
macedonia B-country
restaurant B-restaurant_type

book O
me O
a O
restaurant B-restaurant_type
reservation O
in O
madagascar B-country

book O
a O
restaurant B-restaurant_type
reservation O
in O
hong B-country
kong I-country

get O
me O
a O
table O
for O
sonya B-party_size_description
rebekah I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
restaurant B-restaurant_type
in O
latvia B-country

book O
a O
table O
at O
a O
bar B-restaurant_type
in O
cambodia B-country
that O
serves O
cheese B-served_dish
fries I-served_dish

i O
d O
like O
a O
table O
for O
natasha B-party_size_description
bettye I-party_size_description
and I-party_size_description
kimberley I-party_size_description
at O
a O
coffeehouse B-restaurant_type
with O
a O
smoking B-facility
room I-facility

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
ireland B-country
serving O
kouglof B-served_dish

book O
at O
table O
at O
a O
brasserie B-restaurant_type
which O
serves O
padangnese B-cuisine
food O

book O
a O
pub B-restaurant_type
with O
fisn B-served_dish
n I-served_dish
chips I-served_dish
in O
timberville B-city

book O
north B-cuisine
indian I-cuisine
osteria B-restaurant_type
at O
12 B-timeRange
am I-timeRange

find O
me O
a O
table O
at O
a O
delicatessen B-restaurant_type
in O
urbanette B-city
that O
serves O
rabbit B-served_dish
pie I-served_dish

book O
an O
osteria B-restaurant_type
in O
north B-city
salt I-city
lake I-city
for O
three B-party_size_number

book O
a O
spot O
for O
2 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
mayotte B-country
at O
06:13 B-timeRange
am I-timeRange

book O
a O
table O
at O
a O
french B-cuisine
restaurant B-restaurant_type
for O
fern B-party_size_description
and I-party_size_description
i I-party_size_description

restaurant B-restaurant_type
in O
zimbabwe B-country
that O
is O
brasserie B-restaurant_type
and O
has O
parking B-facility

restaurant B-restaurant_type
in O
durant B-city
for O
3 B-timeRange
pm I-timeRange

book O
a O
table O
for O
2 B-party_size_number
at O
a O
fm B-state
restaurant B-restaurant_type
serving O
grits B-served_dish
for O
the O
next O
meal B-timeRange

i O
want O
to O
book O
a O
restaurant B-restaurant_type
for O
four B-party_size_number
people O
in O
eminence B-city

i O
would O
like O
to O
book O
a O
brasserie B-restaurant_type
for O
nine B-party_size_number
in O
ar B-state

find O
a O
reservation O
for O
2 B-party_size_number
at O
a O
restaurant B-restaurant_type
for O
pizza B-served_dish

book O
a O
restaurant B-restaurant_type
that O
serves O
scampi B-served_dish
for O
10 B-party_size_number
people O

my B-party_size_description
niece I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
visit O
a O
food B-restaurant_type
court I-restaurant_type
in O
callicoon B-city
tennessee B-state

i O
need O
a O
table O
at O
a O
cafe B-restaurant_type
that O
serves O
baeckeoffe B-served_dish

book O
a O
restaurant B-restaurant_type
for O
five B-party_size_number
in O
karnataka B-cuisine

book O
me O
a O
reservation O
at O
a O
pub B-restaurant_type
restaurant I-restaurant_type
that O
serves O
meatball B-served_dish
in O
stehekin B-city
for O
2 B-party_size_number
people O
on O
1/1/2018 B-timeRange

make O
a O
reservation O
at O
a O
diner B-restaurant_type
which O
serves O
chowder B-served_dish
in O
mt B-state
for O
august B-timeRange
the I-timeRange
17th I-timeRange
2024 I-timeRange

book O
a O
spot O
for O
ten B-party_size_number
at O
a O
restaurant B-restaurant_type
with O
a O
spa B-facility
in O
u B-country
s I-country
minor I-country
outlying I-country
islands I-country

reserve O
a O
spot O
at O
indoor B-facility
restaurant B-restaurant_type
on O
june B-timeRange
the I-timeRange
15th I-timeRange
3 B-party_size_number
guests O

i O
need O
a O
reservation O
for O
a O
restaurant B-restaurant_type
that O
serves O
cupcakes B-served_dish
in O
oh B-state

book O
french B-cuisine
food O
for O
me B-party_size_description
and I-party_size_description
angeline I-party_size_description
at O
a O
restaurant B-restaurant_type

i O
want O
to O
eat O
at O
a O
food B-restaurant_type
truck I-restaurant_type
this B-timeRange
week I-timeRange
with O
my B-party_size_description
colleague I-party_size_description
and I-party_size_description
i I-party_size_description

book O
tortano B-served_dish
serving O
brasserie B-restaurant_type
for O
me B-party_size_description
isabella I-party_size_description
and I-party_size_description
carly I-party_size_description
in O
kuwait B-country

restaurant B-restaurant_type
in O
watauga B-city
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
aunt I-party_size_description

i O
need O
to O
reserve O
a O
table O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
mom I-party_size_description
at O
the O
nearest O
restaurant B-restaurant_type
in O
the O
state O
of O
mh B-state

i O
need O
a O
table O
at O
a O
steakhouse B-restaurant_type
in O
encino B-city
that O
serves O
meatcake B-served_dish

book O
a O
bar B-restaurant_type
which O
serves O
chicken B-served_dish
french I-served_dish
at O
robinson B-city

book O
a O
reservation O
for O
a O
brasserie B-restaurant_type
serving O
soupe B-served_dish
in O
tokelau B-country

book O
a O
cafeteria B-restaurant_type
that O
serves O
bagels B-served_dish
for O
six B-party_size_number
people O

i O
would O
like O
a O
table O
at O
a O
taverna B-restaurant_type
with O
croquembouche B-served_dish
for O
1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange

book O
a O
restaurant B-restaurant_type
in O
darnell B-city

i O
d O
like O
to O
eat O
at O
a O
restaurant B-restaurant_type
in O
md B-state
with O
a O
party O
of O
8 B-party_size_number

book O
a O
restaurant B-restaurant_type
on O
next B-timeRange
fall I-timeRange
for O
5 B-party_size_number

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
texas B-state
for O
kelley B-party_size_description
and I-party_size_description
suzette I-party_size_description

i O
need O
a O
reservation O
for O
a O
churrascaria B-restaurant_type
in O
oneonta B-city
wyoming B-state
for O
a O
party O
of O
4 B-party_size_number

book O
a O
table O
in O
sterling B-city
run I-city
for O
two B-party_size_number
with O
a O
pool B-facility
and O
food B-restaurant_type
court I-restaurant_type

make O
a O
reservation O
for O
four B-party_size_number
at O
a O
pub B-restaurant_type
in O
sugarville B-city

i O
need O
to O
book O
a O
table O
at O
a O
tavern B-restaurant_type
that O
serve O
gnocchi B-served_dish
for O
nine B-party_size_number
in O
owenyo B-city

i O
want O
to O
book O
a O
seafood B-served_dish
bakery B-restaurant_type
in O
le B-city
roy I-city

book O
a O
taverna B-restaurant_type
in O
equatorial B-country
guinea I-country
this B-timeRange
month I-timeRange
for O
nine B-party_size_number
people O

book O
me O
a O
table O
for O
2 B-party_size_number
in B-timeRange
6 I-timeRange
years I-timeRange
at O
a O
restaurant B-restaurant_type
that O
serves O
potée B-served_dish

book O
a O
table O
for O
now B-timeRange
for O
4 B-party_size_number
for O
an O
oyster B-restaurant_type
bar I-restaurant_type

please O
get O
me O
seating O
at O
the O
tavern B-restaurant_type
in O
red B-city
lick I-city
michigan B-state

book O
a O
manadonese B-cuisine
restaurant B-restaurant_type
for O
two B-party_size_number

i O
want O
to O
eat O
mezes B-served_dish
at O
the O
pub B-restaurant_type
for O
1 B-party_size_number
at O
four B-timeRange
pm I-timeRange

book O
a O
taverna B-restaurant_type
for O
10 B-party_size_number
for O
ny B-state

book O
a O
spot O
for O
8 B-party_size_number
at O
a O
tavern B-restaurant_type
on O
jun B-timeRange
the I-timeRange
11th I-timeRange
2034 I-timeRange

locate O
a O
bakery B-restaurant_type
in O
rockport B-city
federated B-state
states I-state
of I-state
micronesia I-state
that O
serves O
olives B-served_dish

please O
reserve O
a O
table O
for O
five B-party_size_number
to O
get O
chicken B-served_dish
fingers I-served_dish
at O
a O
cafeteria B-restaurant_type
in O
mexico B-country

book O
a O
bistro B-restaurant_type
for O
4 B-party_size_number
at O
sunset B-timeRange

book O
a O
table O
in O
fort B-city
loudon I-city
at O
a O
restaurant B-restaurant_type
for O
5 B-party_size_number

book O
a O
table O
for O
one B-party_size_number
in O
a O
bar B-restaurant_type
serving O
saucisse B-served_dish
for O
meal B-timeRange
in O
calistoga B-city
co B-state

lets O
take O
me B-party_size_description
cherry I-party_size_description
and I-party_size_description
tracie I-party_size_description
to O
a O
noyack B-city
bar B-restaurant_type

book O
a O
table O
for O
9 B-party_size_number
people O
at O
a O
delicatessen B-restaurant_type
for O
april B-timeRange
the I-timeRange
twenty-eighth I-timeRange
2018 I-timeRange

find O
a O
table O
at O
a O
bar B-restaurant_type
for O
milagros B-party_size_description
and I-party_size_description
i I-party_size_description
in O
mount B-city
pocono I-city

i O
want O
to O
book O
a O
cafeteria B-restaurant_type
for O
4 B-party_size_number
that O
has O
meze B-served_dish

book O
a O
restaurant B-restaurant_type
for O
four B-party_size_number
in O
trinidad B-country
and I-country
tobago I-country

i O
want O
reservations O
at O
a O
restaurant B-restaurant_type
in O
robert B-city
lee I-city
for O
21:05:17 B-timeRange

in B-timeRange
eight I-timeRange
seconds I-timeRange
i O
d O
like O
reservations O
at O
a O
food B-restaurant_type
court I-restaurant_type
that O
serves O
sardinian B-cuisine
food O
in O
pidcoke B-city

book O
a O
table O
for O
seven B-party_size_number
people O
at O
six B-timeRange
at O
the O
restaurant B-restaurant_type

book O
a O
ukraine B-country
pub B-restaurant_type
serves O
mineiro B-cuisine

i O
want O
to O
book O
an O
ethiopian B-cuisine
bar B-restaurant_type
for O
this O
afternoon B-timeRange

need O
a O
table O
at O
a O
fast B-restaurant_type
food I-restaurant_type
restaurant I-restaurant_type
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
kids I-party_size_description
in O
brusly B-city
landing I-city

table O
for O
five B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
lavina B-city

i O
need O
to O
book O
a O
restaurant B-restaurant_type
in O
utah B-state
in O
5 B-timeRange
years I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange

book O
a O
cafe B-restaurant_type
table O
for O
one B-party_size_number
that O
has O
internet B-facility
access O

i O
m O
looking O
to O
book O
a O
spot O
at O
a O
restaurant B-restaurant_type
in O
ri B-state

book O
for O
8 B-party_size_number
for O
argentinian B-cuisine
food O
at O
a O
bakery B-restaurant_type

i O
need O
a O
reservation O
for O
7 B-party_size_number
people O
at O
a O
bar B-restaurant_type
in O
chile B-country
that O
serves O
bio B-served_dish

in B-timeRange
1 I-timeRange
second I-timeRange
i O
need O
a O
restaurant B-restaurant_type
in O
san B-country
marino I-country
for O
9 B-party_size_number

book O
a O
restaurant B-restaurant_type
with O
pool B-facility
facility O
at O
east B-city
gillespie I-city

i O
need O
a O
table O
at O
the B-restaurant_name
apple I-restaurant_name
pan I-restaurant_name
for O
reva B-party_size_description
and I-party_size_description
bernadine I-party_size_description

book O
a O
table O
for O
chasity B-party_size_description
and I-party_size_description
i I-party_size_description
in O
vanuatu B-country

please O
get O
seating O
at O
bouchon B-restaurant_name
in O
tonga B-country
for O
jimmie B-party_size_description
and I-party_size_description
chasity I-party_size_description
howard I-party_size_description

book O
a O
table O
for O
pearl B-party_size_description
and I-party_size_description
verna I-party_size_description
slated O
ash B-timeRange
wednesday I-timeRange
in O
gabon B-country

rebekah B-party_size_description
taylor I-party_size_description
and I-party_size_description
marcie I-party_size_description
need O
reservations O
at O
the B-restaurant_name
clink I-restaurant_name
in O
senegal B-country

book O
a O
table O
at O
crown B-restaurant_name
candy I-restaurant_name
kitchen I-restaurant_name
for O
lacy B-party_size_description
and I-party_size_description
i I-party_size_description

at O
two B-timeRange
am I-timeRange
i O
need O
reservations O
for O
my B-party_size_description
friends I-party_size_description
and I-party_size_description
i I-party_size_description
at O
irma B-restaurant_name
hotel I-restaurant_name

book O
in O
romania B-country
for O
christian B-party_size_description
and I-party_size_description
susana I-party_size_description
at O
david B-restaurant_name
carpenter I-restaurant_name
house I-restaurant_name

me B-party_size_description
maggie I-party_size_description
and I-party_size_description
ellen I-party_size_description
want O
to O
eat O
at O
lentil B-restaurant_name
as I-restaurant_name
anything I-restaurant_name

book O
a O
table O
for O
me B-party_size_description
and I-party_size_description
bettye I-party_size_description
at O
washington B-restaurant_name
d I-restaurant_name
c I-restaurant_name
jewish I-restaurant_name
community I-restaurant_name
center I-restaurant_name
in O
montana B-state

i O
want O
to O
take O
my B-party_size_description
bf I-party_size_description
and I-party_size_description
i I-party_size_description
to O
get O
some O
pain B-served_dish
perdu I-served_dish
from O
a O
food B-restaurant_type
truck I-restaurant_type

please O
get O
seating O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
children I-party_size_description

i O
need O
a O
table O
in O
west B-state
virginia I-state
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
baby I-party_size_description
at O
jacob B-restaurant_name
wirth I-restaurant_name
restaurant I-restaurant_name

book O
a O
reservation O
for O
me B-party_size_description
marva I-party_size_description
and I-party_size_description
barbara I-party_size_description
at O
a O
restaurant B-restaurant_type
with O
parking B-facility

i O
need O
a O
reservation O
at O
the B-restaurant_name
one I-restaurant_name
eighty I-restaurant_name
for O
elsa B-party_size_description
and I-party_size_description
wendy I-party_size_description
in O
muscle B-city
shoals I-city

i O
want O
to O
book O
a O
restaurant B-restaurant_type
in O
a O
distant B-spatial_relation
id B-state
spa B-facility
for O
lidia B-party_size_description
latasha I-party_size_description
and I-party_size_description
diann I-party_size_description

my B-party_size_description
step I-party_size_description
aunt I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
go O
cheese B-served_dish
fries I-served_dish
at O
the O
tavern B-restaurant_type

book O
a O
restaurant B-restaurant_type
in O
fl B-state
in O
the O
city O
of O
lochearn B-city
for O
my B-party_size_description
step I-party_size_description
son I-party_size_description
and I-party_size_description
i I-party_size_description

book O
reservations O
for O
ava B-party_size_description
gonzales I-party_size_description
raquel I-party_size_description
brown I-party_size_description
and I-party_size_description
i I-party_size_description
on O
jul B-timeRange
6 I-timeRange
2040 I-timeRange
in O
hainesville B-city
at O
a O
restaurant B-restaurant_type

i O
m O
going O
to O
herkimer B-city
and O
want O
some O
liver B-served_dish
and I-served_dish
onions I-served_dish
and O
i O
need O
a O
table O
for O
bessie B-party_size_description
antonia I-party_size_description
and I-party_size_description
lisa I-party_size_description
at O
a O
cafe B-restaurant_type
around O
10 B-timeRange
am I-timeRange

book O
a O
food B-restaurant_type
court I-restaurant_type
in O
supper B-timeRange
time O
distant B-spatial_relation
from O
northern B-state
mariana I-state
islands I-state
for O
me B-party_size_description
winnie I-party_size_description
and I-party_size_description
courtney I-party_size_description

make O
me O
a O
reservation O
at O
a O
fast B-restaurant_type
food I-restaurant_type
restaurant I-restaurant_type
for O
elba B-party_size_description
and I-party_size_description
corina I-party_size_description
at O
a O
restaurant B-restaurant_type
with O
parking B-facility

book O
a O
table O
for O
josie B-party_size_description
carissa I-party_size_description
and I-party_size_description
lindsay I-party_size_description
at O
a O
brasserie B-restaurant_type
which O
serves O
trentino B-cuisine

book O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
portugal B-country
with O
parking B-facility
for O
me B-party_size_description
and I-party_size_description
bonnie I-party_size_description
in B-timeRange
19 I-timeRange
minutes I-timeRange

book O
a O
food B-restaurant_type
truck I-restaurant_type
that O
serves O
tarte B-served_dish
for O
tanisha B-party_size_description
lorena I-party_size_description
and I-party_size_description
juliana I-party_size_description

book O
the B-restaurant_name
lake I-restaurant_name
house I-restaurant_name
for O
me B-party_size_description
and I-party_size_description
carmella I-party_size_description

me B-party_size_description
and I-party_size_description
edith I-party_size_description
want O
to O
eat O
in O
coventry B-city
lake I-city

i O
want O
to O
eat O
at O
a O
bakery B-restaurant_type
with O
deidre B-party_size_description
and I-party_size_description
rosa I-party_size_description
in O
jersey B-country

book O
a O
spot O
for O
gay B-party_size_description
ramos I-party_size_description
janice I-party_size_description
gonzales I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
bar B-restaurant_type
in O
timbo B-city

book O
me O
a O
table O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
nephew I-party_size_description
near B-spatial_relation
my B-poi
location I-poi
at O
an O
indoor B-facility
pub B-restaurant_type

find O
me O
a O
table O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
grandkid I-party_size_description
in O
union B-restaurant_name
square I-restaurant_name
cafe I-restaurant_name

book O
a O
reservation O
for O
my B-party_size_description
great I-party_size_description
grandfather I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
macaroni B-served_dish
pub B-restaurant_type
in O
ct B-state

book O
a O
spot O
for O
marci B-party_size_description
marylou I-party_size_description
and I-party_size_description
amelia I-party_size_description
far B-spatial_relation
from O
north B-country
korea I-country

make O
me O
a O
reservation O
at O
illinois B-restaurant_name
central I-restaurant_name
railroad I-restaurant_name
freight I-restaurant_name
depot I-restaurant_name
in O
singapore B-country
with O
vickie B-party_size_description
rodriguez I-party_size_description
lila I-party_size_description
reyes I-party_size_description
and I-party_size_description
ruby I-party_size_description

book O
a O
table O
for O
me B-party_size_description
leanne I-party_size_description
and I-party_size_description
tami I-party_size_description
at O
a O
restaurant B-restaurant_type
serving O
caucasian B-cuisine
food B-restaurant_type

me B-party_size_description
and I-party_size_description
my I-party_size_description
grandmother I-party_size_description
want O
to O
eat O
umbrian B-cuisine
food O
on O
january B-timeRange
the I-timeRange
7th I-timeRange
at O
a O
brasserie B-restaurant_type

would O
like O
to O
book O
a O
restaurant B-restaurant_type
the O
last B-timeRange
day I-timeRange
of I-timeRange
sukkot I-timeRange
for O
lee B-party_size_description
and I-party_size_description
ines I-party_size_description

make O
a O
restaurant B-restaurant_type
reservation O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
son I-party_size_description
at O
twenty B-timeRange
three I-timeRange
o I-timeRange
clock I-timeRange

need O
a O
table O
for O
rita B-party_size_description
antoinette I-party_size_description
and I-party_size_description
i I-party_size_description

find O
a O
table O
somewhere O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
step I-party_size_description
mother I-party_size_description
in O
graniteville B-city
de B-state

book O
something O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
wife I-party_size_description
at O
a O
restaurant B-restaurant_type
in B-timeRange
four I-timeRange
weeks I-timeRange

book O
a O
spot O
for O
elise B-party_size_description
and I-party_size_description
alma I-party_size_description
at O
a O
brasserie B-restaurant_type
in O
ravensdale B-city
mh B-state
for O
this B-timeRange
week I-timeRange

book O
a O
pub B-restaurant_type
for O
helen B-party_size_description
and I-party_size_description
miriam I-party_size_description
in O
nine B-timeRange
years I-timeRange
from I-timeRange
now I-timeRange

book O
a O
table O
not B-spatial_relation
far I-spatial_relation
in O
wy B-state
at O
a O
gastropub B-restaurant_type
with O
internet B-facility
for O
me B-party_size_description
jenny I-party_size_description
and I-party_size_description
antoinette I-party_size_description
in B-timeRange
one I-timeRange
week I-timeRange

book O
a O
table O
for O
lois B-party_size_description
effie I-party_size_description
price I-party_size_description
and I-party_size_description
i I-party_size_description
for O
next B-timeRange
summer I-timeRange
in O
italy B-country

i O
want O
to O
book O
a O
restaurant B-restaurant_type
in O
wallsburg B-city
missouri B-state
for O
michele B-party_size_description
diann I-party_size_description
and I-party_size_description
pam I-party_size_description

can O
you O
make O
a O
reservation O
for O
next B-timeRange
year I-timeRange
in O
modesto B-city
for O
joanna B-party_size_description
and I-party_size_description
ella I-party_size_description

book O
for O
my B-party_size_description
girlfriend I-party_size_description
and I-party_size_description
i I-party_size_description
for O
truffade B-served_dish
at O
a O
gastropub B-restaurant_type
in O
west B-state
virginia I-state

book O
the O
chapter B-restaurant_name
one I-restaurant_name
in O
bosnia B-country
and I-country
herzegovina I-country
for O
patti B-party_size_description
hester I-party_size_description
richardson I-party_size_description
and I-party_size_description
camille I-party_size_description

book O
a O
table O
for O
ida B-party_size_description
monica I-party_size_description
and I-party_size_description
etta I-party_size_description
at O
cold B-restaurant_name
spring I-restaurant_name
tavern I-restaurant_name
in O
md B-state

me B-party_size_description
and I-party_size_description
katharine I-party_size_description
would O
like O
to O
go O
eat O
at O
jan B-timeRange
22nd I-timeRange
in O
ia B-state

can O
you O
get O
a O
table O
at O
the B-restaurant_name
triple I-restaurant_name
door I-restaurant_name
in O
district B-state
of I-state
columbia I-state
for O
me B-party_size_description
and I-party_size_description
deborah I-party_size_description
vasquez I-party_size_description

book O
a O
restaurant B-restaurant_type
in O
northern B-state
mariana I-state
islands I-state
with O
kristine B-party_size_description
alisha I-party_size_description
and I-party_size_description
florine I-party_size_description

book O
a O
spot O
for O
krista B-party_size_description
yolanda I-party_size_description
and I-party_size_description
i I-party_size_description
in O
new B-state
mexico I-state

book O
a O
table O
for O
mindy B-party_size_description
and I-party_size_description
angelita I-party_size_description
at O
a O
restaurant B-restaurant_type
which O
serves O
café B-served_dish
liégeois I-served_dish

book O
a O
table O
for O
kristina B-party_size_description
and I-party_size_description
teresa I-party_size_description
in B-timeRange
1 I-timeRange
second I-timeRange

book O
a O
restaurant B-restaurant_type
for O
me B-party_size_description
angela I-party_size_description
and I-party_size_description
mercedes I-party_size_description
in O
cimarron B-city
city I-city
colorado B-state

gwen B-party_size_description
carter I-party_size_description
and I-party_size_description
i I-party_size_description
want O
a O
reservation O
in O
the O
dominican B-country
republic I-country

can O
you O
reserve O
a O
table O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
the O
american B-state
samoa I-state
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
mom I-party_size_description

i O
want O
to O
bring O
antoinette B-party_size_description
christine I-party_size_description
and I-party_size_description
caitlin I-party_size_description
to O
get O
bread B-served_dish
at O
a O
restaurant B-restaurant_type
in O
faraway B-spatial_relation
connecticut B-state

i O
want O
to O
take O
me B-party_size_description
and I-party_size_description
my I-party_size_description
momy I-party_size_description
to O
eat O
in O
flossmoor B-city

book O
a O
restaurant B-restaurant_type
in O
medford B-city
lakes I-city
on O
sep B-timeRange
8 I-timeRange
2033 I-timeRange
for O
essie B-party_size_description
tonya I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
spot O
for O
me B-party_size_description
reyna I-party_size_description
and I-party_size_description
maxine I-party_size_description
at O
a O
taverna B-restaurant_type
on O
monday B-timeRange

me B-party_size_description
and I-party_size_description
my I-party_size_description
mummy I-party_size_description
want O
to O
go O
to O
an O
indian B-cuisine
bar B-restaurant_type
next B-timeRange
winter I-timeRange
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
cortelyou B-poi
rd I-poi

book O
a O
english B-cuisine
pub B-restaurant_type
for O
me B-party_size_description
belinda I-party_size_description
and I-party_size_description
dena I-party_size_description
close-by B-spatial_relation
syria B-country
next B-timeRange
dec I-timeRange

i O
would O
like O
a O
table O
for O
jacqueline B-party_size_description
wilson I-party_size_description
and I-party_size_description
deanna I-party_size_description
at O
david B-restaurant_name
carpenter I-restaurant_name
house I-restaurant_name
in O
uncas B-city
fm B-state

book O
in O
west B-city
palm I-city
beach I-city
for O
glenda B-party_size_description
lois I-party_size_description
and I-party_size_description
tamra I-party_size_description
at O
a O
nearby B-spatial_relation
restaurant B-restaurant_type
serving O
puglia B-cuisine

i O
d O
like O
reservations O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
grandkid I-party_size_description
at O
a O
top-rated B-sort
restaurant B-restaurant_type
that O
serves O
molise B-cuisine
cuisine O
in O
pa B-state

make O
me O
a O
reservation O
for O
elvira B-party_size_description
and I-party_size_description
i I-party_size_description
in O
brazil B-country

make O
me O
a O
reservation O
somewhere O
near B-spatial_relation
here O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
step I-party_size_description
brother I-party_size_description
by O
adeline B-poi
s I-poi
apartment I-poi

i O
need O
to O
book O
a O
restaurant B-restaurant_type
in O
burkettsville B-city
in B-timeRange
2 I-timeRange
years I-timeRange
for O
rhoda B-party_size_description
adams I-party_size_description
roxanne I-party_size_description
and I-party_size_description
i I-party_size_description

my B-party_size_description
sons I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
dine O
at O
the B-restaurant_name
water I-restaurant_name
club I-restaurant_name
in O
georgia B-state

book O
a O
food B-restaurant_type
court I-restaurant_type
indoor B-facility
at O
penermon B-city
for O
my B-party_size_description
step I-party_size_description
father I-party_size_description
and I-party_size_description
i I-party_size_description

can O
you O
get O
seating O
for O
my B-party_size_description
father I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
restaurant B-restaurant_type
in O
birch B-city
run I-city

book O
a O
spot O
for O
marlene B-party_size_description
jordan I-party_size_description
and I-party_size_description
i I-party_size_description
on O
oct B-timeRange
the I-timeRange
6th I-timeRange

please O
book O
highly B-sort
rated I-sort
restaurant B-restaurant_type
with O
food B-restaurant_type
truck I-restaurant_type
tuscan B-cuisine
for O
me B-party_size_description
and I-party_size_description
adela I-party_size_description
in O
hallam B-city
indiana B-state

i O
need O
a O
reservation O
for O
harveys B-restaurant_name
this B-timeRange
winter I-timeRange
in O
neighboring B-spatial_relation
wisconsin B-state
for O
terri B-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
restaurant B-restaurant_type
for O
my B-party_size_description
baby I-party_size_description
and I-party_size_description
i I-party_size_description
in O
delaware B-state

me B-party_size_description
and I-party_size_description
terrie I-party_size_description
need O
a O
table O
at O
a O
bar B-restaurant_type
in O
hypoluxo B-city
ut B-state

book O
a O
restaurant B-restaurant_type
with O
a O
pool B-facility
far B-spatial_relation
from O
robbie B-poi
s I-poi
hostel I-poi
for O
me B-party_size_description
chandra I-party_size_description
and I-party_size_description
noelle I-party_size_description
at O
nine B-timeRange
pm I-timeRange

book O
a O
table O
in O
mississippi B-state
on O
may B-timeRange
nineteenth I-timeRange
2034 I-timeRange
for O
me B-party_size_description
silvia I-party_size_description
and I-party_size_description
sandy I-party_size_description

book O
me O
a O
tibetan B-cuisine
restaurant B-restaurant_type
for O
my B-party_size_description
boss I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
table O
at O
the O
eighth B-restaurant_name
step I-restaurant_name
coffee I-restaurant_name
house I-restaurant_name
that O
isn O
t O
too O
far B-spatial_relation
from O
vineyard B-city
haven I-city
for O
candace B-party_size_description
phillips I-party_size_description
debbie I-party_size_description
and I-party_size_description
sondra I-party_size_description

book O
a O
brasserie B-restaurant_type
for O
connie B-party_size_description
scott I-party_size_description
and I-party_size_description
madeline I-party_size_description
in O
northern B-state
mariana I-state
islands I-state
in B-timeRange
eleven I-timeRange
hours I-timeRange

book O
a O
spot O
for O
robyn B-party_size_description
martinez I-party_size_description
maude I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
steakhouse B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
their B-poi
place I-poi

i O
need O
a O
table O
at O
light B-restaurant_name
horse I-restaurant_name
tavern I-restaurant_name
in O
city B-city
of I-city
the I-city
dalles I-city
nh B-state
for O
kathleen B-party_size_description
brianna I-party_size_description
and I-party_size_description
i I-party_size_description

book O
reservations O
at O
a O
restaurant B-restaurant_type
with O
vickie B-party_size_description
and I-party_size_description
caitlin I-party_size_description
on O
february B-timeRange
the I-timeRange
second I-timeRange
2018 I-timeRange

i O
need O
to O
book O
a O
restaurant B-restaurant_type
that O
has O
wifi B-facility
far B-spatial_relation
from O
tx B-state
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
parents I-party_size_description

book O
a O
diner B-restaurant_type
place O
or O
me B-party_size_description
and I-party_size_description
my I-party_size_description
best I-party_size_description
friend I-party_size_description
on O
holy B-timeRange
saturday I-timeRange
capital O
of O
united B-country
arab I-country
emirates I-country
where O
they O
serve O
pepperoni B-served_dish
dishes O

i O
want O
to O
book O
a O
table O
at O
a O
nearby B-spatial_relation
restaurant B-restaurant_type
in O
andorra B-country
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
kids I-party_size_description

i O
d O
like O
a O
table O
for O
my B-party_size_description
teenager I-party_size_description
and I-party_size_description
i I-party_size_description
at O
the O
washington B-restaurant_name
d I-restaurant_name
c I-restaurant_name
jewish I-restaurant_name
community I-restaurant_name
center I-restaurant_name

i O
need O
a O
table O
for O
me B-party_size_description
violet I-party_size_description
and I-party_size_description
maude I-party_size_description
at O
a O
restaurant B-restaurant_type
in O
ne B-state

restaurant B-restaurant_type
in O
west B-state
virginia I-state
for O
my B-party_size_description
son I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
reservation O
for O
irene B-party_size_description
and I-party_size_description
rosella I-party_size_description
at O
the B-restaurant_name
room I-restaurant_name
in I-restaurant_name
the I-restaurant_name
elephant I-restaurant_name
in O
israel B-country

book O
a O
spot O
for O
me B-party_size_description
and I-party_size_description
sonja I-party_size_description
at O
a O
popular B-sort
pizzeria B-restaurant_type

i O
would O
like O
to O
book O
a O
table O
at O
a O
delicatessen B-restaurant_type
in O
punjabi B-cuisine
for O
me B-party_size_description
angela I-party_size_description
and I-party_size_description
vilma I-party_size_description

in B-timeRange
twenty I-timeRange
three I-timeRange
hours I-timeRange
and I-timeRange
1 I-timeRange
second I-timeRange
my B-party_size_description
daughter I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
eat O
at O
a O
restaurant B-restaurant_type

reserve O
a O
table O
for O
my B-party_size_description
bf I-party_size_description
and I-party_size_description
i I-party_size_description
at O
montreal B-restaurant_name
pool I-restaurant_name
room I-restaurant_name
in O
indiahoma B-city

please O
book O
a O
coffeehouse B-restaurant_type
restaurant I-restaurant_type
type O
room O
to O
accommodate O
gretchen B-party_size_description
trisha I-party_size_description
and I-party_size_description
amber I-party_size_description
which O
serves O
pastelaria B-cuisine
dish O

book O
a O
table O
for O
doris B-party_size_description
and I-party_size_description
i I-party_size_description
in O
new B-city
tulsa I-city

find O
the O
schedule B-object_type
for O
the B-movie_name
devil I-movie_name
diamond I-movie_name
at O
a O
movie B-object_location_type
theatre I-object_location_type

what O
movie B-object_location_type
theatre I-object_location_type
is O
showing O
manorama B-movie_name
six I-movie_name
feet I-movie_name
under I-movie_name

give O
me O
showtimes O
for O
the B-movie_name
tenth I-movie_name
woman I-movie_name
at O
the O
movie B-object_location_type
house I-object_location_type

i O
m O
wondering O
if O
i O
can O
watch O
heyy B-movie_name
babyy I-movie_name
at O
a O
cinema B-object_location_type

which O
movie B-object_location_type
house I-object_location_type
is O
playing O
snow B-movie_name
in I-movie_name
the I-movie_name
desert I-movie_name
today O

i O
d O
like O
to O
watch O
the B-movie_name
wedding I-movie_name
ring I-movie_name
at O
the O
movie B-object_location_type
theatre I-object_location_type

is O
dishyum B-movie_name
at O
the O
cinema B-object_location_type

can O
i O
go O
see O
cash B-movie_name
and I-movie_name
curry I-movie_name
at O
a O
movie B-object_location_type
theatre I-object_location_type

show O
movies B-movie_type
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

find O
the O
closest B-spatial_relation
cinema B-object_location_type
playing O
the B-movie_name
st I-movie_name
francisville I-movie_name
experiment I-movie_name

where O
is O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
that O
is O
playing O
movies B-movie_type
now B-timeRange

what O
films B-movie_type
are O
playing O
now B-timeRange
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

where O
is O
the O
nearest B-spatial_relation
cinema B-object_location_type
showing O
horror O
films B-movie_type
today O

which O
animated B-movie_type
movies I-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
movie B-object_location_type
theatre I-object_location_type
is O
playing O
shed B-movie_name
no I-movie_name
tears I-movie_name

which O
cinema B-object_location_type
is O
currently O
showing O
the B-movie_name
youngest I-movie_name
profession I-movie_name

what O
animated B-movie_type
movies I-movie_type
are O
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
near O
brunch B-timeRange

where O
is O
the O
nearest B-spatial_relation
cinema B-object_location_type
playing O
compound B-movie_name
fracture I-movie_name

find O
the O
schedule B-object_type
for O
kingsman: B-movie_name
the I-movie_name
secret I-movie_name
service I-movie_name
at O
a O
movie B-object_location_type
theatre I-object_location_type

what O
s O
the O
closest B-spatial_relation
cinema B-object_location_type
playing O
chuckys B-movie_name
baby I-movie_name
now B-timeRange

is O
one B-movie_name
night I-movie_name
surprise I-movie_name
at O
the O
cinema B-object_location_type

can O
i O
get O
the O
showtimes O
for O
films B-movie_type
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

give O
me O
some O
info O
on O
when O
hands B-movie_name
across I-movie_name
the I-movie_name
border I-movie_name
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be O
laying O
at O
the O
cinema B-object_location_type

what O
time O
is O
the B-movie_name
night I-movie_name
before I-movie_name
the I-movie_name
premiere I-movie_name
playing O
at O
the O
movie B-object_location_type
house I-object_location_type

is O
lord B-movie_name
jim I-movie_name
at O
the O
movie B-object_location_type
house I-object_location_type

find O
movies B-movie_type
playing O
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
time O
for O
movies B-movie_type
at O
the O
closest B-spatial_relation
cinema B-object_location_type

i O
want O
to O
watch O
mr B-movie_name
and I-movie_name
mrs I-movie_name
bridge I-movie_name
at O
a O
nearest B-spatial_relation
cinema B-object_location_type

i O
d O
like O
to O
see O
the O
showtimes O
for O
silly B-movie_name
movie I-movie_name
2 I-movie_name
0 I-movie_name
at O
the O
movie B-object_location_type
house I-object_location_type

showtimes O
for O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
that O
is O
showing O
operation B-movie_name
autumn I-movie_name

is O
live B-movie_name
forever: I-movie_name
the I-movie_name
rise I-movie_name
and I-movie_name
fall I-movie_name
of I-movie_name
brit I-movie_name
pop I-movie_name
playing O
at O
the O
closest B-spatial_relation
cinema B-object_location_type
in B-timeRange
1 I-timeRange
minute I-timeRange

what O
is O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
playing O
films B-movie_type

what O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
playing O
new B-movie_name
york I-movie_name
melody I-movie_name

what O
s O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
that O
s O
showing O
animated B-movie_type
movies I-movie_type

list O
films B-movie_type
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

is O
mentioned B-movie_name
in I-movie_name
confidence I-movie_name
at O
the O
cinema B-object_location_type

can O
i O
get O
the O
showtimes O
for O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
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has O
the O
newest O
films B-movie_type

where O
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the O
closest B-spatial_relation
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playing O
osmanthus B-movie_name
alley I-movie_name

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time O
is O
the B-movie_name
crystal I-movie_name
gazer I-movie_name
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at O
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closest B-spatial_relation
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is O
black B-movie_name
& I-movie_name
white: I-movie_name
the I-movie_name
dawn I-movie_name
of I-movie_name
justice I-movie_name
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at O
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movie B-object_location_type
theatre I-object_location_type

which O
is O
the O
nearest B-spatial_relation
cinema B-object_location_type
showing O
movies B-movie_type
that O
start O
in B-timeRange
nineteen I-timeRange
seconds I-timeRange

show O
the O
movies B-movie_type
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

find O
a O
movie B-object_location_type
house I-object_location_type
closest B-spatial_relation
with O
beethoven B-movie_name
lives I-movie_name
upstairs I-movie_name

what O
films B-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

what O
movies B-movie_type
are O
playing O
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

what O
time O
is O
the B-movie_name
man I-movie_name
who I-movie_name
dared I-movie_name
playing O
at O
the O
movie B-object_location_type
theatre I-object_location_type

what O
movie B-object_location_type
house I-object_location_type
is O
playing O
something B-movie_name
for I-movie_name
the I-movie_name
birds I-movie_name

what O
cinema B-object_location_type
is O
the O
closest B-spatial_relation
showing O
movies B-movie_type

is O
young B-movie_name
policemen I-movie_name
in I-movie_name
love I-movie_name
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local O
movie B-object_location_type
theatre I-object_location_type

is O
hollows B-movie_name
grove I-movie_name
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at O
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movie B-object_location_type
theatre I-object_location_type
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pm I-timeRange

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there O
a O
movie B-object_location_type
theatre I-object_location_type
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last B-movie_name
cab I-movie_name
to I-movie_name
darwin I-movie_name
today O

what O
time O
is O
the B-movie_name
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case I-movie_name
playing O
at O
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closest B-spatial_relation
cinema B-object_location_type

i O
d O
like O
to O
watch O
the B-movie_name
details I-movie_name
at O
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cinema B-object_location_type

is O
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angel I-movie_name
of I-movie_name
vengeance I-movie_name
– I-movie_name
the I-movie_name
female I-movie_name
hamlet I-movie_name
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at O
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at O
6 B-timeRange
am I-timeRange

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is O
the B-movie_name
great I-movie_name
question I-movie_name
playing O
at O
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closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

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i O
watch O
flower B-movie_name
and I-movie_name
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now I-timeRange

what O
s O
the O
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movie B-object_location_type
house I-object_location_type
showing O
films B-movie_type

i O
want O
to O
see O
dead B-movie_name
calm I-movie_name
at O
the O
closest B-spatial_relation
cinema B-object_location_type

what O
is O
the O
closest B-spatial_relation
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with O
animated B-movie_type
movies I-movie_type

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from I-timeRange
now I-timeRange
find O
a O
cinema B-object_location_type
with O
first B-movie_name
monday I-movie_name
in I-movie_name
october I-movie_name

i O
want O
to O
see O
king B-movie_name
of I-movie_name
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river I-movie_name
in O
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nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

show O
me O
the O
films B-movie_type
at O
the O
closest B-spatial_relation
cinema B-object_location_type

what O
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the O
closest B-spatial_relation
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playing O
six B-movie_name
days: I-movie_name
three I-movie_name
activists I-movie_name
three I-movie_name
wars I-movie_name
one I-movie_name
dream I-movie_name
at O
sunrise B-timeRange

what O
animated B-movie_type
movies I-movie_type
are O
playing O
at O
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closest B-spatial_relation
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is O
traffic B-movie_name
at O
the O
movie B-object_location_type
theatre I-object_location_type

what O
cinema B-object_location_type
is O
playing O
the B-movie_name
white I-movie_name
stadium I-movie_name

when O
can O
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see O
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handful I-movie_name
of I-movie_name
dust I-movie_name
in O
a O
movie B-object_location_type
theatre I-object_location_type

which O
animated B-movie_type
movies I-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

is O
cradle B-movie_name
robbers I-movie_name
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

is O
hercules B-movie_name
and I-movie_name
xena: I-movie_name
the I-movie_name
battle I-movie_name
for I-movie_name
mount I-movie_name
olympus I-movie_name
playing O
at O
the O
closest B-spatial_relation
cinema B-object_location_type

i O
m O
wondering O
what O
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is O
playing O
peters B-movie_name
baby I-movie_name

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the O
schedule B-object_type
for O
films B-movie_type
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

i O
d O
like O
to O
watch O
films B-movie_type
at O
the O
nearest B-spatial_relation
cinema B-object_location_type
at O
8 B-timeRange
am I-timeRange

what O
time O
are O
the O
animated B-movie_type
movies I-movie_type
starting O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

find O
the O
schedule B-object_type
for O
better B-movie_name
this I-movie_name
world I-movie_name
at O
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movie B-object_location_type
house I-object_location_type

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the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
with O
the B-movie_name
witness I-movie_name
chair I-movie_name

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films B-movie_type
closest B-spatial_relation
to O
a O
cinema B-object_location_type

is O
the B-movie_name
swan I-movie_name
available O
to O
watch O
at O
the O
movie B-object_location_type
house I-object_location_type
now B-timeRange

what O
is O
the O
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movie B-object_location_type
house I-object_location_type
playing O
black B-movie_name
scorpion I-movie_name

what O
movies B-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

is O
redacted B-movie_name
playing O
at O
the O
closest B-spatial_relation
cinema B-object_location_type

whats O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
medal B-movie_name
of I-movie_name
honor I-movie_name

can O
you O
tell O
me O
the O
movies B-movie_type
that O
are O
going O
to O
be O
scheduled O
at O
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closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

whats O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
showing O
animated B-movie_type
movies I-movie_type

tell O
me O
the O
films B-movie_type
playing O
at O
the O
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movie B-object_location_type
house I-object_location_type
to O
me O

what O
time O
is O
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challenge I-movie_name
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at O
the O
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house I-object_location_type

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pull O
up O
showings O
for O
pop B-movie_name
goes I-movie_name
the I-movie_name
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movie B-object_location_type
theatre I-object_location_type

what O
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is O
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hotline I-movie_name
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movie B-object_location_type
theatre I-object_location_type

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stripped B-movie_name
to I-movie_name
kill I-movie_name
ii: I-movie_name
live I-movie_name
girls I-movie_name
playing O
at O
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nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

i O
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like O
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watch O
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laundry I-movie_name
at O
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movie B-object_location_type
house I-object_location_type

find O
movies B-movie_type
nearest B-spatial_relation
to O
a O
movie B-object_location_type
house I-object_location_type

what O
movie B-object_location_type
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playing O
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movies I-movie_type
nearest B-spatial_relation

what O
is O
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of I-movie_name
the I-movie_name
limberlost I-movie_name

when O
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from I-movie_name
des I-movie_name
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at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

what O
is O
the O
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today O
playing O
animated B-movie_type
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what O
movie B-object_location_type
theatre I-object_location_type
is O
the O
closest B-spatial_relation
that O
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playing O
cheat B-movie_name
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fair: I-movie_name
the I-movie_name
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of I-movie_name
maxwell I-movie_name
street I-movie_name
right O
now B-timeRange

find O
the B-movie_name
world I-movie_name
is I-movie_name
ours I-movie_name
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movie B-object_location_type
theatre I-object_location_type

what O
time O
is O
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might I-movie_name
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playing O
at O
the O
cinema B-object_location_type

find O
the O
schedule B-object_type
for O
central B-movie_name
airport I-movie_name
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
schedule B-object_type
for O
tube B-movie_name
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closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

search O
for O
the B-object_name
adventures I-object_name
of I-object_name
cookie I-object_name
& I-object_name
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find O
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of I-object_name
evil I-object_name

find O
young B-object_name
miss I-object_name
holmes I-object_name

search O
for O
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women I-object_name
of I-object_name
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find O
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called O
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pull O
up O
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find O
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and I-object_name
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find O
the B-object_name
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show O
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of O
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find O
the B-object_name
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find O
the B-object_name
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want O
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watch O
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search O
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the I-object_name
faith I-object_name

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find O
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find O
switching B-object_name
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species I-object_name
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show O
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fire I-object_name
movie B-object_type

find O
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meditations B-object_name

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there O
any O
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for O
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have O
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find O
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as I-object_name
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find O
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from B-object_name
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find O
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with I-object_name
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find O
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want O
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want O
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the B-object_name
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scotsman I-object_name

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new I-object_name
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city I-object_name

find O
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book B-object_type
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outpost B-object_name
firewall I-object_name
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want O
television B-object_type
show I-object_type
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again I-object_name
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find O
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want O
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the O
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please O
look O
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for O
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up O
the B-object_name
baltic I-object_name
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find O
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anywhere O

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want O
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here B-current_location

what O
will O
the O
weather O
by O
close B-spatial_relation
by O
the O
current B-current_location
position I-current_location
at O
02:02:30 B-timeRange

what O
is O
the O
cloud B-condition_description
coverage O
in O
my O
current B-current_location
place I-current_location

will O
it O
be O
warm B-condition_temperature
here B-current_location
in B-timeRange
one I-timeRange
hour I-timeRange

on O
april B-timeRange
2nd I-timeRange
what O
will O
the O
weather O
be O
here B-current_location

weather O
for O
my O
nearby B-spatial_relation
current B-current_location
location I-current_location

tell O
me O
the O
weather O
forecast O
nearby B-spatial_relation
my O
current B-current_location
location I-current_location

what O
is O
the O
forecast O
for O
here B-current_location
at O
tea B-timeRange
time O

what O
s O
the O
forecast O
for O
nearby B-spatial_relation
the O
current B-current_location
position I-current_location

tell O
me O
when O
it O
ll O
be O
hotter B-condition_temperature
here B-current_location

is O
it O
going O
to O
rain B-condition_description
at O
my O
current B-current_location
position I-current_location

what O
is O
the O
weather O
forecast O
this B-timeRange
week I-timeRange
close-by B-spatial_relation
my O
current B-current_location
position I-current_location

what O
s O
the O
weather O
going O
to O
be O
like O
at O
my O
current B-current_location
spot I-current_location
at O
7 B-timeRange
am I-timeRange

what O
will O
the O
weather O
be O
like O
at O
my O
current B-current_location
spot I-current_location
on O
january B-timeRange
the I-timeRange
19th I-timeRange

show O
weather O
forcast O
here B-current_location
at O
19 B-timeRange

is O
it O
warm B-condition_temperature
here B-current_location
now B-timeRange

will O
the O
weather O
be O
cloudy B-condition_description
at O
0 B-timeRange
pm I-timeRange
at O
my O
current B-current_location
position I-current_location

will O
it O
be O
warmer B-condition_temperature
in O
my O
current B-current_location
position I-current_location

will O
there O
be O
a O
snowfall B-condition_description
here B-current_location
in O
the O
neighboring B-spatial_relation
areas O

what O
will O
the O
weather O
be O
in O
the O
current B-current_location
place I-current_location
1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange

what O
will O
the O
weather O
be O
here B-current_location

what O
will O
the O
weather O
be O
in O
the O
current B-current_location
position I-current_location
on O
dec B-timeRange
23 I-timeRange

tell O
me O
if O
it O
ll O
be O
chilly B-condition_temperature
here B-current_location
at O
0 B-timeRange
pm I-timeRange

what O
s O
the O
temperature O
here B-current_location

will O
it O
be O
snowy B-condition_description
here B-current_location
soon O

what O
is O
the O
predicted O
weather O
for O
my O
current B-current_location
spot I-current_location
next B-timeRange
month I-timeRange

is O
it O
warm B-condition_temperature
in O
the O
current B-current_location
spot I-current_location

what O
is O
the O
weather O
close-by B-spatial_relation
my O
current B-current_location
spot I-current_location

will O
it O
in O
hail B-condition_description
in O
my O
current B-current_location
position I-current_location
on O
12/10/2035 B-timeRange

will O
it O
be O
hotter B-condition_temperature
close B-spatial_relation
by O
here B-current_location
at O
13 B-timeRange
o I-timeRange
clock I-timeRange

what O
will O
the O
weather O
be O
like O
1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
my O
current B-current_location
location I-current_location

what O
s O
the O
weather O
like O
here B-current_location

is O
it O
cloudy B-condition_description
here B-current_location

what O
s O
the O
weather O
faraway B-spatial_relation
from O
here B-current_location
on O
sep B-timeRange
the I-timeRange
fifteenth I-timeRange

weather O
for O
my O
current B-current_location
location I-current_location
tomorrow B-timeRange

what O
will O
the O
weather O
be O
in O
a B-timeRange
month I-timeRange
from I-timeRange
now I-timeRange
at O
my O
current B-current_location
location I-current_location

what O
is O
the O
current B-current_location
position I-current_location
forecast O
for O
starting O
on O
july B-timeRange
22 I-timeRange

in O
seven B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
will O
it O
rain B-condition_description
at O
my O
current B-current_location
place I-current_location

tell O
me O
if O
it O
ll O
be O
freezing B-condition_temperature
here B-current_location
in B-timeRange
21 I-timeRange
seconds I-timeRange

what O
is O
the O
weather O
forecast O
for O
here B-current_location

will O
weather O
conditions O
be O
stormy B-condition_description
here B-current_location
from O
6/15/2025 B-timeRange
onward O

please O
check O
the O
weather O
forecast O
here B-current_location

will O
there O
be O
a O
depression B-condition_description
here B-current_location
on O
october B-timeRange
26 I-timeRange

what O
will O
it O
feel O
like O
in O
the O
current B-current_location
place I-current_location
in O
july B-timeRange

is O
it O
temperate B-condition_temperature
in O
the O
current B-current_location
location I-current_location
now B-timeRange

what O
s O
the O
weather O
forecast O
for O
next B-timeRange
week I-timeRange
at O
my O
current B-current_location
position I-current_location

what O
is O
the O
forecast O
for O
here B-current_location
at O
8 B-timeRange
am I-timeRange

is O
it O
forecast O
to O
be O
temperate B-condition_temperature
here B-current_location

is O
the O
expected O
weather O
temperate B-condition_temperature
here B-current_location
in B-timeRange
1 I-timeRange
month I-timeRange

what O
is O
the O
forecast O
for O
this O
current B-current_location
position I-current_location
for O
chilly B-condition_temperature
temps O

what O
s O
the O
forecast O
for O
my O
current B-current_location
spot I-current_location

tell O
me O
the O
weather O
forecast O
for O
my O
current B-current_location
spot I-current_location
1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange

will O
it O
be O
warm B-condition_temperature
in O
the O
current B-current_location
place I-current_location
next B-timeRange
spring I-timeRange

locate O
a O
cafeteria B-restaurant_type
for O
two B-party_size_number
that O
serves O
deviled B-served_dish
crab I-served_dish

book O
a O
spot O
for O
one B-party_size_number
at O
a O
fish B-served_dish
restaurant B-restaurant_type

book O
a O
spot O
for O
one B-party_size_number
at O
a O
pub B-restaurant_type
that O
serves O
som B-served_dish
tam I-served_dish

book O
a O
socca B-served_dish
serving O
steakhouse B-restaurant_type
for O
2 B-party_size_number
in O
saint B-city
james I-city
alabama B-state

book O
me O
a O
restaurant B-restaurant_type
in O
ware B-city
shoals I-city
that O
serves O
russian B-served_dish
tea I-served_dish
cake I-served_dish

book O
a O
spot O
at O
a O
pizza B-served_dish
place O
nine B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
wisconsin B-state

book O
a O
spot O
for O
3 B-party_size_number
at O
the O
pizza B-served_dish
place O

i O
m O
craving O
mac B-served_dish
and I-served_dish
cheese I-served_dish
book O
a O
table O
at O
a O
portland B-city
mills I-city
ks B-state
restaurant B-restaurant_type
i O
need O
it O
for O
one B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

book O
me O
a O
reservation O
at O
an O
oyster B-restaurant_type
bar I-restaurant_type
that O
serves O
crab B-served_dish
cake I-served_dish
for O
two B-party_size_number
people O

book O
me O
a O
restaurant B-restaurant_type
where O
i O
can O
get O
a O
burrito B-served_dish

i O
want O
to O
book O
a O
restaurant B-restaurant_type
with O
creamed B-served_dish
eggs I-served_dish
on I-served_dish
toast I-served_dish
on O
kansas B-timeRange
day I-timeRange
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
british B-country
indian I-country
ocean I-country
territory I-country

i O
need O
a O
reservation O
for O
eight B-party_size_number
for O
a O
brasserie B-restaurant_type
that O
serves O
spanish B-served_dish
rice I-served_dish

book O
me O
a O
bar B-restaurant_type
where O
i O
can O
get O
a O
bear B-served_dish
claw I-served_dish
in O
as B-state

i O
need O
seats O
for O
six B-party_size_number
at O
a O
vegan B-served_dish
bar B-restaurant_type
in O
london B-poi
borough I-poi
of I-poi
enfield I-poi
or O
the O
same B-spatial_relation
distant I-spatial_relation
in B-timeRange
one I-timeRange
second I-timeRange

book O
a O
table O
at O
an O
oyster B-restaurant_type
bar I-restaurant_type
that O
serves O
apple B-served_dish
butter I-served_dish
on O
jul B-timeRange
10th I-timeRange
2028 I-timeRange

i O
need O
a O
reservation O
for O
a O
brasserie B-restaurant_type
that O
serves O
ankimo B-served_dish
in O
pw B-state

book O
a O
churrascaria B-restaurant_type
restaurant I-restaurant_type
that O
serves O
spring B-served_dish
rolls I-served_dish
for O
one B-party_size_number
person O

i O
need O
to O
book O
a O
table O
at O
a O
food B-restaurant_type
court I-restaurant_type
in O
nh B-state
that O
serves O
smelt B-served_dish

i O
want O
to O
make O
a O
reservation O
for O
one B-party_size_number
at O
a O
sushi B-served_dish
restaurant B-restaurant_type
in O
brucetown B-city

book O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
saudi B-country
arabia I-country
that O
serves O
presskopf B-served_dish

book O
me O
a O
restaurant B-restaurant_type
that O
serves O
hot B-served_dish
chicken I-served_dish
in O
dutch B-city
mills I-city
north B-state
dakota I-state
for O
10 B-party_size_number
people O
for O
3 B-timeRange
am I-timeRange

book O
a O
restaurant B-restaurant_type
in O
mp B-state
at O
3 B-timeRange
pm I-timeRange
with O
pigs B-served_dish
in I-served_dish
blankets I-served_dish

book O
for O
2 B-party_size_number
at O
a O
cafe B-restaurant_type
for O
burgers B-served_dish
in O
gasport B-city

find O
a O
table O
at O
a O
restaurant B-restaurant_type
that O
serves O
corn B-served_dish
relish I-served_dish
in O
venezuela B-country

i O
d O
like O
to O
eat O
souvlaki B-served_dish
fast B-restaurant_type
food I-restaurant_type
with O
a O
party O
of O
two B-party_size_number

i O
need O
a O
table O
for O
7 B-party_size_number
people O
at O
a O
bar B-restaurant_type
that O
specialises O
in O
being O
a O
protein B-served_dish
bar I-served_dish

i O
need O
a O
table O
for O
nine B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
pelican B-city
bay I-city
serving O
chips B-served_dish
on O
december B-timeRange
6 I-timeRange
2031 I-timeRange

i O
want O
to O
book O
a O
doughnut B-served_dish
bar B-restaurant_type
in O
american B-state
samoa I-state

book O
a O
spot O
for O
seven B-party_size_number
at O
a O
brasserie B-restaurant_type
with O
ginestrata B-served_dish

book O
a O
table O
for O
10 B-party_size_number
people O
on O
bunker B-timeRange
hill I-timeRange
day I-timeRange
at O
a O
food B-restaurant_type
court I-restaurant_type
which O
serves O
spätzle B-served_dish
in O
monaco B-country

i O
want O
to O
book O
a O
pizza B-served_dish
restaurant B-restaurant_type
close B-spatial_relation
to O
astor B-poi
place I-poi
for O
nine B-party_size_number
at O
3 B-timeRange
am I-timeRange

i O
want O
to O
eat O
a O
a O
brasserie B-restaurant_type
that O
serves O
muffuletta B-served_dish
where O
can O
i O
get O
a O
reservation O

book O
a O
tavern B-restaurant_type
in O
rhode B-state
island I-state
that O
serves O
saucisse B-served_dish

please O
book O
a O
restaurant B-restaurant_type
room O
which O
serves O
hangtown B-served_dish
fry I-served_dish
dish O
in O
jagual B-city

book O
a O
brasserie B-restaurant_type
that O
serves O
mezzes B-served_dish
in O
iowa B-state

book O
a O
spot O
for O
1 B-party_size_number
at O
a O
bakery B-restaurant_type
with O
crab B-served_dish
cake I-served_dish
not B-spatial_relation
far I-spatial_relation
from O
new B-state
jersey I-state

book O
a O
brasserie B-restaurant_type
type O
restaurant B-restaurant_type
that O
serves O
pizzas B-served_dish
in O
american B-state
samoa I-state

make O
reservations O
at O
a O
restaurant B-restaurant_type
in O
adrian B-city
that O
serves O
cheese B-served_dish
steak I-served_dish

book O
me O
a O
restaurant B-restaurant_type
that O
serves O
festoni B-served_dish
for O
eight B-party_size_number
in O
new B-state
hampshire I-state

i O
need O
a O
table O
in O
your B-poi
position I-poi
at O
churrascaria B-restaurant_type
for O
a O
hot B-served_dish
dog I-served_dish
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

please O
find O
me O
a O
table O
at O
a O
place O
that O
serves O
glace B-served_dish
has O
room O
for O
six B-party_size_number
and O
a O
pub B-restaurant_type
atmosphere O

i O
d O
like O
to O
get O
reservations O
for O
four B-party_size_number
at O
a O
restaurant B-restaurant_type
that O
serves O
apple B-served_dish
sauce I-served_dish

book O
a O
spot O
for O
ten B-party_size_number
at O
a O
pizzeria B-restaurant_type
that O
has O
tourte B-served_dish
in O
minnesota B-state
in B-timeRange
22 I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
weeks I-timeRange
in O
yamhill B-city

book O
a O
pub B-restaurant_type
that O
serves O
fries B-served_dish
for O
9 B-party_size_number
people O

grab O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
minnesota B-state
that O
serves O
ice B-served_dish
cream I-served_dish
cake I-served_dish

book O
a O
stuffed B-served_dish
peppers I-served_dish
serving O
bakery B-restaurant_type
for O
9 B-party_size_number
at O
woodsfield B-city
vi B-state

book O
a O
table O
at O
a O
restaurant B-restaurant_type
which O
serves O
sushis B-served_dish
next B-timeRange
week I-timeRange

book O
a O
bar B-restaurant_type
that O
serves O
stracciatella B-served_dish
in O
north B-state
dakota I-state
for O
four B-party_size_number
at O
four B-timeRange
am I-timeRange

book O
a O
fried B-served_dish
fish I-served_dish
serving O
restaurant B-restaurant_type
for O
one B-party_size_number
at O
20 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

i O
m O
looking O
to O
book O
a O
seat O
at O
a O
bakery B-restaurant_type
that O
serves O
coleslaw B-served_dish
at O
19:44:58 B-timeRange

book O
for O
lobster B-served_dish
newberg I-served_dish
this B-timeRange
week I-timeRange
in O
malaysia B-country
at O
a O
restaurant B-restaurant_type
for O
four B-party_size_number

antoinette B-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
eat O
at O
an O
oyster B-restaurant_type
bar I-restaurant_type
that O
serves O
pizzette B-served_dish
in O
south B-city
duxbury I-city
me B-state

me B-party_size_description
and I-party_size_description
my I-party_size_description
father I-party_size_description
in I-party_size_description
law I-party_size_description
want O
go O
eat O
gratin B-served_dish
at O
a O
restaurant B-restaurant_type

i O
need O
a O
bakery B-restaurant_type
that O
serves O
beef B-served_dish
manhattan I-served_dish
at O
midnight B-timeRange
for O
nine B-party_size_number

book O
a O
stuffed B-served_dish
ham I-served_dish
serving O
pizzeria B-restaurant_type
in O
independence B-city
corner I-city

book O
a O
reservation O
for O
a O
restaurant B-restaurant_type
serving O
burger B-served_dish
in O
malaysia B-country

i O
want O
to O
eat O
panisses B-served_dish
the O
nearby B-spatial_relation
cafeteria B-restaurant_type
in O
naytahwaush B-city

book O
a O
table O
for O
vermicelli B-served_dish
at O
a O
restaurant B-restaurant_type

book O
a O
food B-restaurant_type
truck I-restaurant_type
in O
argusville B-city
that O
has O
fish B-served_dish
chips I-served_dish

book O
a O
table O
for O
eight B-party_size_number
people O
at O
a O
bar B-restaurant_type
that O
has O
steak B-served_dish
sauce I-served_dish
in O
half B-city
moon I-city
american B-state
samoa I-state
right O
now B-timeRange

i O
want O
to O
book O
a O
tea B-restaurant_type
house I-restaurant_type
for O
4 B-party_size_number
that O
serves O
madeleine B-served_dish

i O
want O
to O
book O
a O
pub B-restaurant_type
in O
ms B-state
that O
serves O
festoni B-served_dish

i O
would O
like O
to O
book O
a O
frozen B-served_dish
yogurt I-served_dish
restaurant B-restaurant_type
for O
one B-party_size_number

make O
me O
a O
reservation O
for O
a O
party O
of O
6 B-party_size_number
at O
a O
pub B-restaurant_type
at O
five B-timeRange
o I-timeRange
clock I-timeRange
in O
arizona B-state
that O
serves O
waffles B-served_dish
in O
the O
city O
of O
hat B-city
creek I-city

book O
a O
reservation O
for O
a O
pub B-restaurant_type
serving O
gateau B-served_dish
in O
ms B-state

book O
a O
spot O
for O
6 B-party_size_number
at O
a O
gateau B-served_dish
restaurant B-restaurant_type

make O
me O
a O
reservation O
that O
serves O
kebab B-served_dish
at O
a O
delicatessen B-restaurant_type
in O
ambler B-city

book O
a O
bakery B-restaurant_type
that O
serves O
souvlaki B-served_dish
for O
tomorrow B-timeRange

book O
a O
spot O
for O
seven B-party_size_number
at O
a O
bar B-restaurant_type
with O
chicken B-served_dish
french I-served_dish

i O
need O
to O
book O
a O
tropézienne B-served_dish
restaurant B-restaurant_type
six B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

book O
a O
gastropub B-restaurant_type
that O
serves O
pansette B-served_dish
in O
skaneateles B-city
pennsylvania B-state

book O
me O
a O
table O
at O
a O
bistro B-restaurant_type
that O
serves O
maple B-served_dish
syrup I-served_dish
for O
a O
party O
of O
10 B-party_size_number

book O
a O
molecular B-served_dish
gastronomy I-served_dish
serving O
restaurant B-restaurant_type
on O
march B-timeRange
the I-timeRange
20th I-timeRange

book O
a O
restaurant B-restaurant_type
that O
serves O
vezione B-served_dish
verro I-served_dish
one B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

book O
a O
spot O
for O
selma B-party_size_description
and I-party_size_description
molly I-party_size_description
at O
a O
steakhouse B-restaurant_type
with O
saucisse B-served_dish
that O
is O
close-by B-spatial_relation
mcsherrystown B-poi

book O
me O
a O
reservation O
at O
a O
burger B-served_dish
joint B-restaurant_type
close-by B-spatial_relation
choate B-city
on O
july B-timeRange
16th I-timeRange
2022 I-timeRange

book O
a O
stracciatella B-served_dish
provider O
coffeehouse B-restaurant_type
for O
10 B-party_size_number

book O
a O
pizza B-served_dish
serving O
tavern B-restaurant_type
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
brother I-party_size_description

book O
a O
churrascaria B-restaurant_type
restaurant I-restaurant_type
for O
2 B-party_size_number
which O
serves O
mezes B-served_dish

book O
a O
spot O
for O
six B-party_size_number
at O
a O
restaurant B-restaurant_type
that O
serves O
fish B-served_dish
and I-served_dish
chips I-served_dish

please O
make O
a O
reservation O
at O
ten B-party_size_number
at O
a O
bakery B-restaurant_type
which O
serves O
burrito B-served_dish

book O
a O
spot O
at O
a O
soul B-served_dish
food I-served_dish
food B-restaurant_type
truck I-restaurant_type
in O
cawker B-city
city I-city

book O
for O
crepes B-served_dish
at O
a O
restaurant B-restaurant_type
in O
sint B-country
maarten I-country

book O
a O
spot O
at O
a O
crab B-served_dish
restaurant B-restaurant_type

i O
d O
like O
to O
eat O
salads B-served_dish
at O
a O
restaurant B-restaurant_type

i O
need O
to O
book O
a O
restaurant B-restaurant_type
for O
five B-party_size_number
in B-timeRange
1 I-timeRange
minute I-timeRange
that O
serves O
chichi B-served_dish
in O
east B-city
prairie I-city

book O
a O
reservation O
for O
a O
gastropub B-restaurant_type
serving O
liver B-served_dish
and I-served_dish
onions I-served_dish

set O
me O
up O
with O
a O
table O
at O
a O
bar B-restaurant_type
with O
salade B-served_dish
for O
5 B-party_size_number

make O
a O
reservation O
for O
8 B-party_size_number
at O
a O
diner B-restaurant_type
that O
serves O
haystack B-served_dish

i O
would O
like O
to O
book O
a O
donut B-served_dish
serving O
delicatessen B-restaurant_type
in O
cuba B-country
for O
5 B-party_size_number
on O
april B-timeRange
eleventh I-timeRange

make O
a O
reservation O
at O
a O
tavern B-restaurant_type
which O
serves O
clam B-served_dish
cake I-served_dish
for O
a O
party O
of O
8 B-party_size_number
in O
western B-country
sahara I-country

book O
a O
table O
on O
6/14/2035 B-timeRange
at O
a O
bakery B-restaurant_type
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
equatorial B-country
guinea I-country
that O
serves O
paella B-served_dish

i O
need O
a O
reservation O
for O
a O
party O
of O
three B-party_size_number
maybe O
a O
gastropub B-restaurant_type
that O
sells O
steak B-served_dish

can O
you O
get O
me O
a O
table O
at O
a O
chicken B-served_dish
and I-served_dish
waffles I-served_dish
joint B-restaurant_type
in O
new B-state
mexico I-state

book O
a O
table O
at O
a O
diner B-restaurant_type
which O
serves O
thousand B-served_dish
island I-served_dish
dressing I-served_dish
in O
ivory B-country
coast I-country

book O
a O
masala B-served_dish
bar B-restaurant_type
on O
march B-timeRange
6 I-timeRange
2034 I-timeRange

find O
me O
a O
bar B-restaurant_type
in O
eagle B-city
pass I-city
vermont B-state
that O
serves O
noodle B-served_dish
dishes O
that O
will O
take O
reservations O
for O
2/21/2021 B-timeRange

book O
a O
churrascaria B-restaurant_type
restaurant I-restaurant_type
that O
serves O
chips B-served_dish
for O
five B-party_size_number
people O

book O
a O
bar B-restaurant_type
for O
6 B-party_size_number
that O
has O
stuffed B-served_dish
ham I-served_dish
and O
isn O
t O
too O
faraway B-spatial_relation
from O
canarsie B-poi
- I-poi
rockaway I-poi
parkway I-poi
on O
bennington B-timeRange
battle I-timeRange
day I-timeRange

find O
and O
book O
a O
restaurant B-restaurant_type
that O
serves O
dumplings B-served_dish

what O
is O
the O
weather O
in O
sint B-country
maarten I-country

can O
you O
please O
give O
me O
the O
forecast O
for O
the O
dominica B-country

what O
s O
the O
weather O
forecast O
for O
the O
dominican B-country
republic I-country

what O
will O
the O
weather O
be O
in O
peru B-country

is O
there O
a O
snowstorm B-condition_description
in O
the O
forecast O
for O
saint B-country
helena I-country

what O
is O
the O
weather O
of O
sri B-country
lanka I-country

what O
is O
the O
weather O
forecast O
for O
åland B-country

is O
it O
hot B-condition_temperature
in O
bolivia B-country

forecast O
for O
guatemala B-country

what O
s O
the O
weather O
forecast O
for O
new B-country
zealand I-country

book O
a O
table O
at O
the O
wwe B-restaurant_name
the I-restaurant_name
world I-restaurant_name
in O
south B-country
korea I-country

what O
is O
the O
weather O
forecast O
in O
saint B-country
vincent I-country
and I-country
the I-country
grenadines I-country

please O
tell O
me O
the O
forecast O
for O
guinea-bissau B-country

weather O
for O
faroe B-country
islands I-country

what O
is O
the O
00:00 B-timeRange
pm I-timeRange
forecast O
for O
blizzard B-condition_description
conditions O
in O
cameroon B-country

is O
it O
supposed O
to O
be O
chilly B-condition_temperature
in O
kuwait B-country

what O
s O
the O
weather O
forecast O
for O
togo B-country
on O
april B-timeRange
the I-timeRange
24th I-timeRange

is O
there O
snow B-condition_description
in O
jan B-timeRange
in O
castle B-city
dale I-city
mayotte B-country

is O
agnew B-city
united B-country
states I-country
has O
chilly B-condition_temperature
weather O

what O
s O
the O
weather O
in O
singapore B-country

what O
s O
the O
cloud B-condition_description
forecast O
now B-timeRange
for O
sierra B-country
leone I-country

what O
is O
the O
forecast O
in O
mer B-city
rouge I-city
and O
palestine B-country

will O
it O
be O
hot B-condition_temperature
in O
dongola B-city
cameroon B-country

check O
the O
weather O
for O
kenedy B-city
vanuatu B-country
for O
around O
nine B-timeRange
am I-timeRange

what O
s O
the O
weather O
in O
guatemala B-country

will O
there O
be O
depression B-condition_description
on O
mar B-timeRange
the I-timeRange
twenty-eighth I-timeRange
in O
saint B-country
pierre I-country
and I-country
miquelon I-country

i O
need O
to O
know O
if O
its O
humid B-condition_description
in O
greenback B-city
in O
mongolia B-country

what O
will O
the O
weather O
be O
in O
totowa B-city
guernsey B-country

book O
me O
a O
table O
at O
the B-restaurant_name
fat I-restaurant_name
duck I-restaurant_name
in O
ireland B-country

will O
there O
be O
snowfall B-condition_description
in O
coxs B-city
mills I-city
vatican B-country

reservea O
table O
for O
five B-party_size_number
people O
on O
september B-timeRange
second I-timeRange
in O
gabon B-country

need O
a O
table O
at O
colony B-restaurant_name
in O
sri B-country
lanka I-country
next B-timeRange
year I-timeRange

will O
it O
be O
hotter B-condition_temperature
in O
conception B-city
junction I-city
moldova B-country

what O
is O
the O
temperate B-condition_temperature
in O
seattle B-city
heights I-city
and O
slovenia B-country
at O
seven B-timeRange
pm I-timeRange

book O
a O
kuwait B-country
place O
at O
seven B-timeRange
am I-timeRange
at O
the B-restaurant_name
middle I-restaurant_name
east I-restaurant_name

what O
will O
the O
weather O
be O
like O
in O
russia B-country
in O
one B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange

will O
it O
be O
colder B-condition_temperature
in O
oaklawn B-city
zambia B-country

book O
a O
theme B-restaurant_name
restaurant I-restaurant_name
in O
cameroon B-country
for O
6 B-party_size_number
people O

will O
it O
be O
colder B-condition_temperature
in O
holladay B-city
saint B-country
kitts I-country
and I-country
nevis I-country

tell O
me O
if O
it O
will O
be O
hotter B-condition_temperature
in B-timeRange
seven I-timeRange
hours I-timeRange
in O
doyle B-city
united B-country
states I-country

what O
is O
the O
weather O
in O
richardson B-city
tanzania B-country

what O
is O
the O
weather O
supposed O
to O
be O
like O
on O
sep B-timeRange
20 I-timeRange
in O
maltby B-city
russia B-country

what O
is O
the O
weather O
forecast O
for O
latvia B-country
strasburg B-city

what O
s O
the O
weather O
going O
to O
be O
in O
jun B-timeRange
in O
burkina B-country

what O
is O
the O
weather O
forecast O
for O
israel B-country

will O
it O
be O
hotter B-condition_temperature
at O
nine B-timeRange
am I-timeRange
in O
serbia B-country

what O
is O
the O
weather O
in O
the O
falkland B-country
islands I-country

what O
s O
the O
forecast O
for O
castolon B-city
in O
french B-country
southern I-country
territories I-country
around O
seven B-timeRange
pm I-timeRange

can O
you O
get O
me O
seating O
for O
5 B-party_size_number
people O
1 B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange
in O
tuvalu B-country

is O
it O
humid B-condition_description
in O
kuwait B-country

how O
will O
the O
weather O
be O
in O
bettles B-city
aruba B-country
on O
may B-timeRange
the I-timeRange
tenth I-timeRange
2026 I-timeRange

what O
is O
the O
weather O
going O
to O
be O
like O
in O
epleys B-city
in O
south B-country
georgia I-country
and I-country
the I-country
south I-country
sandwich I-country
islands I-country
in B-timeRange
11 I-timeRange
months I-timeRange

book O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
the O
cayman B-country
islands I-country
two B-timeRange
hundred I-timeRange
ninety I-timeRange
six I-timeRange
days I-timeRange
from I-timeRange
now I-timeRange

i O
d O
like O
to O
eat O
in O
iran B-country
with O
a O
party O
of O
9 B-party_size_number
on O
sep B-timeRange
the I-timeRange
12th I-timeRange

how O
s O
the O
weather O
going O
to O
be O
at O
fourteen B-timeRange
o I-timeRange
clock I-timeRange
in O
falkland B-country
islands I-country

is O
it O
warm B-condition_temperature
faraway B-spatial_relation
in O
niger B-country

find O
a O
reservation O
at O
berowra B-restaurant_name
waters I-restaurant_name
inn I-restaurant_name
in O
australia B-country
in B-timeRange
2 I-timeRange
years I-timeRange

show O
me O
a O
forecast O
for O
french B-country
polynesia I-country

will O
the O
weather O
be O
temperate B-condition_temperature
on O
jan B-timeRange
the I-timeRange
thirteenth I-timeRange
2028 I-timeRange
at O
christmas B-country
island I-country

book O
me O
a O
table O
for O
seven B-party_size_number
in O
neighboring B-spatial_relation
france B-country

reserve O
a O
table O
at O
a O
restaurant B-restaurant_type
with O
wifi B-facility
in O
france B-country

what O
is O
the O
weather O
forecast O
for O
papua B-country
new I-country
guinea I-country

what O
is O
the O
afternoon B-timeRange
forecast O
for O
shannon B-city
and O
pitcairn B-country
islands I-country

what O
is O
the O
weather O
in O
kernersville B-city
greece B-country

in O
taiwan B-country
will O
there O
be O
rainfall B-condition_description
in O
willimantic B-city

i O
want O
to O
go O
to O
antigua B-country
and I-country
barbuda I-country
and O
eat O
at O
a O
table O
for O
4 B-party_size_number

get O
me O
a O
table O
for O
3 B-party_size_number
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
from O
my O
hotel O
in O
tajikistan B-country

how O
cold B-condition_temperature
is O
it O
in O
martinique B-country

get O
me O
a O
table O
for O
2 B-party_size_number
people O
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
in O
tunisia B-country

united B-country
states I-country
has O
warm B-condition_temperature
weather O
on O
next B-timeRange
wed I-timeRange

book O
a O
spot O
at O
leopold B-restaurant_name
cafe I-restaurant_name
in O
bhutan B-country

book O
bridge B-restaurant_name
round I-restaurant_name
house I-restaurant_name
for O
one B-party_size_number
at O
meal B-timeRange
time O
in O
democratic B-country
republic I-country
of I-country
the I-country
congo I-country
close B-spatial_relation

can O
you O
tell O
me O
the O
weather O
forecast O
for O
six B-timeRange
am I-timeRange
in O
grenada B-country

book O
a O
table O
at O
a O
bar B-restaurant_type
in O
argentina B-country

tell O
me O
if O
it O
will O
rain B-condition_description
on O
4/19/2030 B-timeRange
in O
angola B-country

i O
want O
to O
book O
a O
restaurant B-restaurant_type
in O
keeling B-country
islands I-country
for O
a O
party O
of O
ten B-party_size_number

book O
a O
restaurant B-restaurant_type
for O
august B-timeRange
fourth I-timeRange
not B-spatial_relation
far I-spatial_relation
from O
the O
marshall B-country
islands I-country

what O
is O
the O
forecast O
for O
a B-timeRange
day I-timeRange
from I-timeRange
now I-timeRange
in O
liechtenstein B-country

book O
a O
table O
for O
10 B-party_size_number
at O
the O
dunbrody B-restaurant_name
country I-restaurant_name
house I-restaurant_name
hotel I-restaurant_name
in O
serbia B-country

what O
s O
the O
weather O
this B-timeRange
summer I-timeRange
in O
djibouti B-country

will O
there O
be O
a O
blizzard B-condition_description
in O
egypt B-country

what O
is O
weather O
in O
azerbaijan B-country
16 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

what O
is O
the O
forecast O
for O
6 B-timeRange
am I-timeRange
in O
aruba B-country

book O
a O
reservation O
for O
thomas B-restaurant_name
hynes I-restaurant_name
house I-restaurant_name
on O
jan B-timeRange
the I-timeRange
third I-timeRange
in O
netherlands B-country

i O
d O
like O
a O
table O
for O
two B-party_size_number
at O
a O
brasserie B-restaurant_type
in O
são B-country
tomé I-country
and I-country
príncipe I-country

on O
may B-timeRange
the I-timeRange
thirteenth I-timeRange
2037 I-timeRange
what O
will O
it O
be O
like O
in O
wilderville B-city
montenegro B-country

will O
it O
be O
foggy B-condition_description
on O
the O
town B-timeRange
meeting I-timeRange
day I-timeRange
vermont I-timeRange
in O
angola B-country

is O
saint B-city
robert I-city
hotter B-condition_temperature
than O
turkmenistan B-country

will O
it O
rain B-condition_description
today B-timeRange
in O
french B-country
southern I-country
territories I-country
of O
highland B-city
beach I-city

need O
weather O
forecast O
for O
stacy B-city
in O
vanuatu B-country

i O
need O
a O
table O
in O
east B-country
timor I-country
for O
a O
party O
of O
nine B-party_size_number
at O
5 B-restaurant_name
north I-restaurant_name
st I-restaurant_name

reserve O
a O
table O
for O
3 B-party_size_number
people O
at O
the B-restaurant_name
cubby I-restaurant_name
bear I-restaurant_name
in O
comoros B-country

weather O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
qatar B-country
at O
four B-timeRange

book O
a O
table O
for O
seven B-party_size_number
during O
our O
thailand B-country
trip O
that O
is O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
our O
hotel O

what O
s O
the O
weather O
at O
zero B-timeRange
pm I-timeRange
in O
papeton B-city
montserrat B-country

tell O
me O
the O
weather O
forecast O
for O
equatorial B-country
guinea I-country

what O
is O
the O
close B-spatial_relation
by I-spatial_relation
greenland B-country
forecast O

what O
is O
the O
weather O
forecast O
for O
cuba B-country
at O
eleven B-timeRange
am I-timeRange

weather O
for O
swaziland B-country

i O
need O
to O
find O
a O
restaurant B-restaurant_type
for O
ten B-party_size_number
people O
at O
twelve B-timeRange
am I-timeRange
in O
liechtenstein B-country

will O
it O
get O
warmer B-condition_temperature
in O
centenary B-city
around O
the O
evening B-timeRange

what O
is O
the O
random B-city
lake I-city
forecast O
for O
hot B-condition_temperature
temps O

is O
it O
chilly B-condition_temperature
in O
nightmute B-city

is O
it O
cold B-condition_temperature
in O
brian B-city
head I-city

will O
it O
get O
chillier B-condition_temperature
in O
sinclair B-city
in B-timeRange
8 I-timeRange
hours I-timeRange

in O
california B-state
will O
it O
be O
cold B-condition_temperature
in O
east B-city
trenton I-city
heights I-city

is O
it O
supposed O
to O
be O
hotter B-condition_temperature
today B-timeRange
in O
il B-state

is O
it O
going O
to O
be O
hotter B-condition_temperature
in O
d B-city
lo I-city

ho O
warm B-condition_temperature
is O
it O
in O
arcola B-city

will O
mondamin B-city
be O
hot B-condition_temperature
on O
july B-timeRange
20 I-timeRange
2021 I-timeRange

is O
it O
going O
to O
be O
freezing B-condition_temperature
in O
mahwah B-city
missouri B-state
on O
december B-timeRange
the I-timeRange
fifth I-timeRange
2025 I-timeRange

is O
it O
cold B-condition_temperature
now B-timeRange
in O
carlos B-city
il B-state

what O
is O
the O
weather O
forecast O
for O
tennessee B-state
for O
warm B-condition_temperature
temps O

is O
it O
freezing B-condition_temperature
in O
kelso B-city

what O
is O
the O
forecast O
for O
warm B-condition_temperature
weather O
in O
carl B-city

will O
it O
be O
colder B-condition_temperature
in O
litchfield B-city

is O
it O
warm B-condition_temperature
in O
new B-state
jersey I-state
in B-timeRange
23 I-timeRange
minutes I-timeRange
and I-timeRange
fourteen I-timeRange
seconds I-timeRange

is O
it O
freezing B-condition_temperature
in O
vega B-city
alta I-city

will O
it O
be O
colder B-condition_temperature
in O
colorado B-state
nine B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

is O
az B-state
has O
chilly B-condition_temperature
weather O

what O
will O
be O
the O
night B-timeRange
temperate B-condition_temperature
in O
indiana B-state

is O
the O
weather O
freezing B-condition_temperature
in O
ak B-state

is O
it O
cold B-condition_temperature
in O
breckenridge B-city
colorado B-state

is O
it O
going O
to O
be O
warm B-condition_temperature
in O
palmview B-city

will O
it O
be O
temperate B-condition_temperature
near B-spatial_relation
neylandville B-city

how O
warm B-condition_temperature
is O
it O
in O
darnestown B-city

what O
is O
the O
forecast O
for O
colder B-condition_temperature
in O
anston B-city

tell O
me O
if O
it O
ll O
be O
chillier B-condition_temperature
now B-timeRange
in O
engadine B-city

will O
it O
get O
warmer B-condition_temperature
by O
5 B-timeRange
am I-timeRange
in O
washington B-state

is O
it O
going O
to O
be O
colder B-condition_temperature
in O
queen B-city
anne I-city
on O
mon B-timeRange

will O
the O
weather O
be O
temperate B-condition_temperature
22 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
in O
alba B-city

will O
it O
be O
hot B-condition_temperature
on O
december B-timeRange
28 I-timeRange
in O
ayr B-city
mi B-state

will O
it O
get O
chillier B-condition_temperature
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
pw B-state

what O
is O
mo B-state
forecast O
for O
hotter B-condition_temperature
temps O
in O
kalkaska B-city

is O
temperature O
in O
hanksville B-city
freezing B-condition_temperature

is O
it O
going O
to O
be O
temperate B-condition_temperature
at O
six B-timeRange
am I-timeRange
in O
washington B-state

is O
it O
hot B-condition_temperature
in O
zephyrhills B-city

is O
it O
going O
to O
be O
chilly B-condition_temperature
today B-timeRange
in O
abo B-city
wi B-state

will O
it O
be O
hot B-condition_temperature
in O
new B-state
york I-state
on O
october B-timeRange
the I-timeRange
1st I-timeRange
2026 I-timeRange

will O
it O
be O
chillier B-condition_temperature
in O
saxis B-city
north B-state
dakota I-state

will O
it O
be O
chillier B-condition_temperature
in O
la B-city
mesa I-city

is O
the O
forecast O
colder B-condition_temperature
in O
idaho B-state
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

is O
it O
warm B-condition_temperature
in O
sierra B-city
blanca I-city
now B-timeRange

how O
cold B-condition_temperature
is O
it O
going O
to O
be O
in O
san B-city
marcial I-city
ak B-state
in B-timeRange
one I-timeRange
second I-timeRange

will O
it O
be O
warm B-condition_temperature
in O
zambia B-country
at O
9 B-timeRange
pm I-timeRange

will O
it O
be O
warm B-condition_temperature
next B-timeRange
winter I-timeRange
in O
smolan B-city
burkina B-country

will O
it O
be O
hotter B-condition_temperature
on O
oct B-timeRange
the I-timeRange
20th I-timeRange
in O
massachusetts B-state

is O
it O
warmer B-condition_temperature
now B-timeRange
in O
wetumpka B-city
mauritania B-country

on O
april B-timeRange
the I-timeRange
twelfth I-timeRange
in O
somalia B-country
is O
the O
weather O
chilly B-condition_temperature

is O
it O
going O
to O
be O
cold B-condition_temperature
21 B-timeRange
weeks I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange
in O
salemburg B-city

how O
much O
hotter B-condition_temperature
will O
it O
be O
40 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
blue B-city
island I-city
north B-state
dakota I-state

is O
there O
weather O
going O
to O
get O
chilly B-condition_temperature
when O
i O
get O
close B-spatial_relation
to O
new B-state
york I-state

is O
it O
forecast O
to O
be O
warm B-condition_temperature
in O
bosnia B-country
and I-country
herzegovina I-country

i O
need O
the O
weather O
in O
hubbardston B-city
will O
it O
be O
chillier B-condition_temperature

is O
it O
going O
to O
be O
colder B-condition_temperature
in O
botswana B-country
by O
09:30 B-timeRange

will O
it O
be O
chilly B-condition_temperature
in O
fiji B-country
at O
ten B-timeRange
pm I-timeRange

will O
it O
be O
chillier B-condition_temperature
in O
portugal B-country
in B-timeRange
one I-timeRange
hour I-timeRange

is O
it O
going O
to O
be O
chilly B-condition_temperature
in O
belarus B-country

is O
it O
going O
to O
be O
freezing B-condition_temperature
at O
tea B-timeRange
time O
in O
michigantown B-city
ks B-state

will O
it O
be O
chilly B-condition_temperature
in O
cistern B-city

will O
it O
be O
colder B-condition_temperature
1 B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
noew O
in O
east B-city
dundee I-city
zimbabwe B-country

is O
the O
weather O
hot B-condition_temperature
in O
miller B-city
house I-city
nv B-state

will O
it O
get O
warmer B-condition_temperature
in O
czechia B-country

tell O
me O
when O
it O
ll O
be O
hot B-condition_temperature
in O
melbourne B-city
nj B-state

is O
it O
warm B-condition_temperature
in O
west B-city
monroe I-city

will O
it O
be O
freezing B-condition_temperature
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
alaska B-state

will O
it O
get O
warmer B-condition_temperature
in O
berkley B-city

is O
it O
going O
to O
be O
chilly B-condition_temperature
on O
12/13/2025 B-timeRange
in O
haugan B-city
pakistan B-country

is O
it O
cold B-condition_temperature
in O
north B-state
carolina I-state

when O
will O
the O
weather O
be O
temperate B-condition_temperature
like O
it O
is O
now B-timeRange
in O
stansbury B-city
park I-city
in O
tuvalu B-country

will O
it O
be O
temperate B-condition_temperature
in O
tanana B-city
france B-country
in O
a O
week B-timeRange

is O
it O
going O
to O
get O
chillier B-condition_temperature
at O
5 B-timeRange
am I-timeRange
in O
trussville B-city
bosnia B-country
and I-country
herzegovina I-country

tell O
me O
if O
it O
ll O
be O
hotter B-condition_temperature
a B-timeRange
week I-timeRange
from I-timeRange
now I-timeRange
in O
waxhaw B-city

will O
it O
be O
warmer B-condition_temperature
at O
fourteen B-timeRange
o I-timeRange
clock I-timeRange
in O
atlas B-city
mongolia B-country

is O
it O
hot B-condition_temperature
in O
fl B-state

is O
it O
colder B-condition_temperature
today B-timeRange
in O
college B-city
park I-city
then O
in O
serbia B-country
and I-country
montenegro I-country

will O
it O
be O
cold B-condition_temperature
this B-timeRange
autumn I-timeRange
in O
norfolk B-country
island I-country

will O
the O
weather O
be O
temperate B-condition_temperature
in O
betances B-city

will O
it O
get O
chillier B-condition_temperature
in O
arkinda B-city
myanmar B-country

can O
you O
tell O
me O
if O
it O
ll O
be O
freezing B-condition_temperature
in O
wrightstown B-city
in B-timeRange
seven I-timeRange
years I-timeRange

is O
it O
warm B-condition_temperature
in O
albania B-country
at O
noon B-timeRange

will O
it O
get O
chillier B-condition_temperature
in B-timeRange
2 I-timeRange
seconds I-timeRange
in O
republic B-country
of I-country
the I-country
congo I-country

will O
it O
be O
colder B-condition_temperature
in O
connorville B-city

will O
it O
get O
colder B-condition_temperature
by O
11 B-timeRange
in O
jacobsburg B-city
syria B-country

will O
it O
be O
colder B-condition_temperature
this B-timeRange
autumn I-timeRange
in O
wren B-city
saint B-country
martin I-country

is O
it O
going O
to O
get O
chillier B-condition_temperature
in O
kuwait B-country

what O
is O
the O
forecast O
starting O
on O
5/17/2037 B-timeRange
for O
austria B-country
for O
warmer B-condition_temperature
temps O

will O
it O
get O
hotter B-condition_temperature
far B-spatial_relation
away O
in O
afghanistan B-country

will O
it O
be O
warm B-condition_temperature
in O
hematite B-city

will O
it O
be O
chillier B-condition_temperature
in O
uruguay B-country
in B-timeRange
213 I-timeRange
days I-timeRange

will O
it O
be O
hotter B-condition_temperature
in O
pecan B-city
grove I-city

is O
the O
weather O
temperate B-condition_temperature
in O
millinocket B-city

will O
it O
get O
hotter B-condition_temperature
in O
zenith B-city
ct B-state

what O
is O
the O
colder B-condition_temperature
forecast O
for O
nationaal B-geographic_poi
park I-geographic_poi
bidoup I-geographic_poi
núi I-geographic_poi
bà I-geographic_poi
in B-timeRange
a I-timeRange
week I-timeRange

is O
it O
going O
to O
be O
warmer B-condition_temperature
in O
cinnaminson B-city
north B-state
carolina I-state
at O
06:59 B-timeRange
am I-timeRange

is O
it O
hot B-condition_temperature
in O
neighboring B-spatial_relation
algeria B-country

do O
you O
know O
if O
it O
will O
be O
chilly B-condition_temperature
today B-timeRange
in O
puerto B-country
rico I-country

how O
cold B-condition_temperature
will O
it O
be O
in O
palau B-state
around B-spatial_relation
fourteen B-timeRange
o I-timeRange
clock I-timeRange

what O
is O
the O
forecast O
for O
orienta B-city
for O
hotter B-condition_temperature
weather O

will O
it O
be O
warmer B-condition_temperature
in O
amnicon B-geographic_poi
falls I-geographic_poi
state I-geographic_poi
park I-geographic_poi

can O
you O
get O
seating O
for O
a O
group O
of O
6 B-party_size_number
at O
twenty B-timeRange
o I-timeRange
clock I-timeRange
at O
a O
restaurant B-restaurant_type
and O
spa B-facility
faraway B-spatial_relation
from O
palmyra B-poi

book O
me O
a O
reservation O
nearby B-spatial_relation
my O
neighborhood B-poi

book O
a O
spot O
that O
is O
faraway B-spatial_relation
from O
the O
municipal B-poi
borough I-poi
of I-poi
farnworth I-poi
in B-timeRange
16 I-timeRange
minutes I-timeRange

need O
a O
table O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
beach B-poi
105th I-poi
st I-poi
for O
a O
party O
of O
6 B-party_size_number

reserve O
a O
table O
at O
bear B-restaurant_name
hotel I-restaurant_name
around B-spatial_relation
finsbury B-poi
park I-poi

lets O
go O
to O
the O
rainforest B-restaurant_name
cafe I-restaurant_name
that O
is O
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
135th B-poi
st I-poi

book O
a O
reservation O
for O
a O
party O
of O
six B-party_size_number
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
metropolitan B-poi
borough I-poi
of I-poi
bethnal I-poi
green I-poi

book O
a O
restaurant B-restaurant_type
close B-spatial_relation
to O
grant B-poi
av I-poi

book O
a O
spot O
for O
five B-party_size_number
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
72nd B-poi
st I-poi

book O
a O
table O
at O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
the B-restaurant_name
octagon I-restaurant_name
christchurch I-restaurant_name
in O
allentown B-poi

book O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
saratoga B-poi
av I-poi

book O
a O
spot O
for O
10 B-party_size_number
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
inwood B-poi
- I-poi
207th I-poi
st I-poi

book O
a O
reservation O
for O
4 B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
my B-poi
step I-poi
daughter I-poi
s I-poi
position I-poi

i O
would O
like O
to O
book O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
myrtle B-poi
av I-poi
for O
6 B-party_size_number

book O
a O
brasserie B-restaurant_type
at O
turtle B-poi
creek I-poi
neighboring B-spatial_relation
on O
march B-timeRange
sixth I-timeRange
2038 I-timeRange
for O
eight B-party_size_number

book O
a O
table O
in O
a O
haines B-poi
borough I-poi
restaurant B-restaurant_type
for O
nine B-party_size_number
that O
is O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation

i O
want O
to O
book O
the O
best B-sort
manadonese B-cuisine
restaurant B-restaurant_type
for O
six B-party_size_number
at O
21:49 B-timeRange
that O
is O
distant B-spatial_relation
from O
my B-poi
baby I-poi
s I-poi
work I-poi

i O
want O
to O
book O
a O
restaurant B-restaurant_type
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
my O
neighborhood B-poi

i O
need O
a O
reservation O
for O
2 B-party_size_number
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
hoyt B-poi
st I-poi

find O
a O
reservation O
far B-spatial_relation
from O
my B-poi
work I-poi
location I-poi
in B-timeRange
eight I-timeRange
hours I-timeRange
for O
8 B-party_size_number
people O
at O
union B-restaurant_name
auto I-restaurant_name
company I-restaurant_name

i O
want O
to O
book O
a O
restaurant B-restaurant_type
for O
6 B-party_size_number
on O
january B-timeRange
third I-timeRange
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
northvale B-poi

i O
need O
a O
reservation O
for O
a O
restaurant B-restaurant_type
close B-spatial_relation
by I-spatial_relation
their B-poi
hostel I-poi

i O
m O
in O
bowling B-poi
green I-poi
please O
book O
a O
restaurant B-restaurant_type
for O
1 B-party_size_number
close B-spatial_relation
by I-spatial_relation

please O
book O
me O
a O
reservation O
this B-timeRange
year I-timeRange
for O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
my B-poi
office I-poi

can O
you O
book O
a O
table O
for O
a O
party O
of O
6 B-party_size_number
close B-spatial_relation
to O
dekalb B-poi
av I-poi

find O
a O
table O
close B-spatial_relation
by I-spatial_relation
in O
the O
downtown B-poi
area B-spatial_relation
for O
sherri B-party_size_description
and I-party_size_description
i I-party_size_description

i O
d O
like O
to O
eat O
at O
ten B-timeRange
pm I-timeRange
anywhere O
neighboring B-spatial_relation
to O
our B-poi
house I-poi

book O
a O
popular B-sort
restaurant B-restaurant_type
for O
two B-party_size_number
which O
is O
distant B-spatial_relation
from O
avalon B-poi

book O
a O
spot O
in B-timeRange
1 I-timeRange
second I-timeRange
that O
is O
neighboring B-spatial_relation
robin B-poi
s I-poi
hotel I-poi

please O
make O
reservations O
for O
three B-party_size_number
at O
a O
kosher B-cuisine
taverna B-restaurant_type
nearby B-spatial_relation
our B-poi
secondary I-poi
residence I-poi

find O
me O
a O
table O
at O
a O
european B-cuisine
bar B-restaurant_type
for O
six B-party_size_number
in O
the O
neighboring B-spatial_relation
downtown B-poi
area B-spatial_relation

book O
in B-timeRange
one I-timeRange
hour I-timeRange
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
a O
restaurant B-restaurant_type
downtown B-poi

can O
you O
get O
me O
a O
reservation O
at O
wwe B-restaurant_name
the I-restaurant_name
world I-restaurant_name
around B-spatial_relation
av B-poi
u I-poi

book O
a O
restaurant B-restaurant_type
reservation O
for O
my B-party_size_description
gf I-party_size_description
and I-party_size_description
i I-party_size_description
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
sondra B-poi
s I-poi
university I-poi

book O
a O
table O
at O
a O
brasserie B-restaurant_type
far B-spatial_relation
from O
my O
livonia B-poi
av I-poi

book O
a O
spot O
in B-poi
town I-poi
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
me O

book O
the O
best B-sort
close-by B-spatial_relation
bar B-restaurant_type
in O
union B-poi
city I-poi

book O
a O
restaurant B-restaurant_type
in B-poi
town I-poi
not B-spatial_relation
far I-spatial_relation
from O
here O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
mother I-party_size_description
in I-party_size_description
law I-party_size_description

book O
a O
mexican B-cuisine
brasserie B-restaurant_type
close B-spatial_relation
by I-spatial_relation
woodcliff B-poi
lake I-poi
for O
a O
party O
of O
7 B-party_size_number
on O
april B-timeRange
25 I-timeRange
2026 I-timeRange

john B-restaurant_name
ross I-restaurant_name
house I-restaurant_name
restaurant B-restaurant_type
in B-poi
town I-poi
and O
close-by B-spatial_relation

book O
a O
table O
at O
south B-restaurant_name
street I-restaurant_name
diner I-restaurant_name
close B-spatial_relation
to O
your B-poi
teenager I-poi
s I-poi
college I-poi

i O
would O
like O
to O
book O
a O
restaurant B-restaurant_type
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
tremont B-poi
av I-poi
for O
nadine B-party_size_description
sherrie I-party_size_description
and I-party_size_description
i I-party_size_description
on O
3/21/2018 B-timeRange

i O
need O
a O
table O
at O
a O
close B-spatial_relation
by I-spatial_relation
restaurnt O
in O
hackney B-poi
for O
ten B-party_size_number

i O
want O
to O
book O
the O
distant B-spatial_relation
downtown B-poi
tribeca B-restaurant_name
grill I-restaurant_name
for O
august B-timeRange
the I-timeRange
twenty-third I-timeRange
2025 I-timeRange
for O
wilda B-party_size_description
and I-party_size_description
jacklyn I-party_size_description

book O
a O
joint B-restaurant_type
restaurant I-restaurant_type
for O
four B-party_size_number
with O
an O
outdoor B-facility
area B-spatial_relation
within I-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
borough B-poi
de I-poi
denali I-poi

book O
a O
restaurant B-restaurant_type
around B-spatial_relation
thompson B-poi

restaurant B-restaurant_type
near B-spatial_relation
in B-poi
town I-poi
uses O
in B-timeRange
two I-timeRange
years I-timeRange

book O
reservations O
at O
a O
faraway B-spatial_relation
restaurant B-restaurant_type
in O
newtown B-poi
at O
meal B-timeRange
time O

i O
need O
a O
reservation O
for O
january B-timeRange
9 I-timeRange
at O
a O
restaurant B-restaurant_type
that O
serves O
souvlaki B-served_dish
nearby B-spatial_relation
cypress B-poi
av I-poi
for O
a O
party O
of O
1 B-party_size_number

book O
a O
table O
for O
mamie B-party_size_description
and I-party_size_description
maria I-party_size_description
at O
a O
south B-cuisine
tyrolean I-cuisine
restaurant B-restaurant_type
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
from O
fisk B-poi
av-69th I-poi
st I-poi

book O
a O
distant B-spatial_relation
restaurant B-restaurant_type
that O
serves O
blini B-served_dish
on O
103rd B-poi
st I-poi
for O
6 B-party_size_number
people O

book O
a O
spot O
at O
a O
restaurant B-restaurant_type
faraway B-spatial_relation
from O
138th B-poi
st I-poi

book O
a O
reservation O
at O
a O
restaurant B-restaurant_type
nearby B-spatial_relation
their B-poi
airbnb I-poi

book O
a O
restaurant B-restaurant_type
close B-spatial_relation
by I-spatial_relation
downtown B-poi
for O
nine B-party_size_number
in B-timeRange
seven I-timeRange
months I-timeRange

i O
need O
a O
party O
of O
two B-party_size_number
reservation O
faraway B-spatial_relation
from O
atlantic B-poi
av-barclays I-poi
ctr I-poi
at O
a O
spa B-facility
for O
fast B-restaurant_type
food I-restaurant_type

book O
a O
reservation O
for O
leticia B-party_size_description
melva I-party_size_description
and I-party_size_description
twila I-party_size_description
edwards I-party_size_description
at O
glassy B-restaurant_name
junction I-restaurant_name
for O
five B-timeRange
pm I-timeRange
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
our B-poi
secondary I-poi
residence I-poi

schedule O
the O
food B-restaurant_type
truck I-restaurant_type
to O
be O
at O
your B-poi
place I-poi
in O
the O
distant B-spatial_relation
future O

can O
you O
book O
a O
table O
for O
eight B-party_size_number
people O
at O
a O
spa B-facility
type O
restaurant B-restaurant_type
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
the O
metropolitan B-poi
borough I-poi
of I-poi
lambeth I-poi

need O
a O
table O
at O
a O
highly B-sort
rated I-sort
restaurant B-restaurant_type
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
from O
downtown B-poi
for O
luisa B-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
table O
for O
kirsten B-party_size_description
price I-party_size_description
audra I-party_size_description
and I-party_size_description
i I-party_size_description
faraway B-spatial_relation
from O
our B-poi
location I-poi
at O
an O
outdoor B-facility
taverna B-restaurant_type

book O
a O
restaurant B-restaurant_type
at O
a O
steakhouse B-restaurant_type
around B-spatial_relation
in B-poi
town I-poi
that O
serves O
empanada B-served_dish
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
son I-party_size_description

book O
an O
outdoor B-facility
place O
for O
11/1/2033 B-timeRange
in B-poi
town I-poi
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
a O
brasserie B-restaurant_type
for O
nine B-party_size_number

book O
a O
table O
at O
t-rex B-restaurant_name
distant B-spatial_relation
from O
halsey B-poi
st I-poi

book O
the O
great B-restaurant_name
house I-restaurant_name
at I-restaurant_name
sonning I-restaurant_name
distant B-spatial_relation
from O
gun B-poi
hill I-poi
rd I-poi

please O
book O
a O
restaurant B-restaurant_type
for O
ten B-party_size_number
members O
near B-spatial_relation
downtown B-poi
at O
20:38 B-timeRange

book O
a O
spot O
distant B-spatial_relation
from O
the O
neighborhood B-poi
on O
the O
week-end B-timeRange

book O
a O
pub B-restaurant_type
for O
pepperoni B-served_dish
near B-spatial_relation
their B-poi
house I-poi
and O
not B-spatial_relation
far I-spatial_relation

i O
would O
like O
to O
book O
at O
a O
pub B-restaurant_type
on O
mar B-timeRange
8 I-timeRange
2020 I-timeRange
that O
is O
close B-spatial_relation
to O
broadway-lafayette B-poi
st I-poi
for O
my B-party_size_description
daughters I-party_size_description
and I-party_size_description
i I-party_size_description

i O
want O
to O
book O
a O
restaurant B-restaurant_type
close-by B-spatial_relation
my B-poi
teenager I-poi
s I-poi
airbnb I-poi
at O
00:55 B-timeRange
am I-timeRange

i O
want O
to O
book O
a O
highly B-sort
rated I-sort
pizzeria B-restaurant_type
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
tia B-poi
s I-poi
house I-poi

book O
a O
reservation O
not B-spatial_relation
far I-spatial_relation
from O
8th B-poi
st I-poi

i O
am O
looking O
for O
a O
top-rated B-sort
restaurant B-restaurant_type
near B-spatial_relation
bougatsa B-cuisine
that O
can O
feed O
3 B-party_size_number
that O
is O
close B-spatial_relation
to O
pelham B-poi
bay I-poi
park I-poi

i O
d O
like O
to O
eat O
at O
a O
neighboring B-spatial_relation
downtown B-poi
restaurant B-restaurant_type
with O
a O
party O
of O
2 B-party_size_number

find O
a O
reservation O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
pauline B-poi
s I-poi
place I-poi
for O
a O
party O
of O
10 B-party_size_number
at O
fourteen B-timeRange
o I-timeRange
clock I-timeRange
at O
a O
restaurant B-restaurant_type
that O
serves O
aioli B-served_dish

book O
a O
table O
for O
ten B-party_size_number
downtown B-poi
at O
a O
close-by B-spatial_relation
restaurant B-restaurant_type

book O
a O
restaurant B-restaurant_type
for O
4 B-party_size_number
by O
shawn B-poi
s I-poi
work I-poi
close B-spatial_relation
by I-spatial_relation

book O
reservations O
at O
a O
diner B-restaurant_type
that O
serves O
ribs B-served_dish
not B-spatial_relation
far I-spatial_relation
from O
lexington B-poi
av-53rd I-poi
st I-poi

book O
james B-restaurant_name
d I-restaurant_name
conrey I-restaurant_name
house I-restaurant_name
for O
madeleine B-party_size_description
keisha I-party_size_description
and I-party_size_description
clara I-party_size_description
alvarez I-party_size_description
far B-spatial_relation
from O
your B-poi
colleague I-poi
s I-poi
college I-poi

book O
a O
reservation O
for O
a O
party O
of O
four B-party_size_number
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
districts B-poi
of I-poi
sweden I-poi

please O
book O
a O
table O
for O
6 B-party_size_number
people O
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
bedford B-poi
park I-poi
blvd-lehman I-poi
college I-poi

i O
need O
a O
reservation O
for O
a O
coffeehouse B-restaurant_type
with O
nine B-party_size_number
people O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
midland B-poi
park I-poi

book O
a O
spot O
for O
1 B-party_size_number
close B-spatial_relation
to O
geraldine B-poi
s I-poi
house I-poi

i O
d O
like O
to O
eat O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
lawrence B-poi
st I-poi
for O
a O
party O
of O
one B-party_size_number

book O
a O
table O
for O
six B-party_size_number
around B-spatial_relation
yolanda B-poi
s I-poi
apartment I-poi

i O
need O
a O
table O
at O
the O
close B-spatial_relation
restaurant B-restaurant_type
for O
my B-party_size_description
niece I-party_size_description
and I-party_size_description
i I-party_size_description
at O
the O
brooklyn B-poi
bridge-city I-poi
hall I-poi

book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
municipal B-poi
borough I-poi
of I-poi
ealing I-poi
for O
today B-timeRange

find O
a O
table O
for O
madge B-party_size_description
and I-party_size_description
tami I-party_size_description
at O
a O
faraway B-spatial_relation
joint B-restaurant_type
on O
sterling B-poi
st I-poi
that O
serves O
chicken B-served_dish
divan I-served_dish

find O
an O
oasis B-restaurant_name
drive-in I-restaurant_name
close-by B-spatial_relation
beach B-poi
105th I-poi
st I-poi

book O
an O
indoor B-facility
restaurant B-restaurant_type
near B-spatial_relation
wallington B-poi
for O
2 B-party_size_number

i O
need O
to O
book O
a O
restaurant B-restaurant_type
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
thompsontown B-poi
for O
emma B-party_size_description
and I-party_size_description
karen I-party_size_description
johnson I-party_size_description

i O
need O
a O
reservation O
for O
around B-spatial_relation
london B-poi
borough I-poi

can O
you O
make O
reservations O
for O
two B-party_size_number
people O
somewhere O
distant B-spatial_relation
from O
sutphin B-poi
blvd I-poi

book O
a O
steinway B-poi
st I-poi
place O
for O
8 B-party_size_number
that O
is O
close B-spatial_relation

need O
to O
book O
a O
table O
downtown B-poi
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
me O
at O
j B-restaurant_name
g I-restaurant_name
melon I-restaurant_name

want O
to O
eat O
at O
the B-restaurant_name
meatball I-restaurant_name
shop I-restaurant_name
that O
s O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
erica B-poi
s I-poi
campus I-poi

book O
me O
a O
reservation O
for O
a O
mediterranean B-cuisine
restaurant B-restaurant_type
on O
confederate B-timeRange
memorial I-timeRange
day I-timeRange
nearby B-spatial_relation
ocean B-poi
grove I-poi

tell O
me O
when O
there O
will O
be O
a O
snowstorm B-condition_description
in O
clifton B-city
forge I-city

is O
it O
humid B-condition_description
in O
charenton B-city

is O
it O
going O
to O
be O
humid B-condition_description
in O
helix B-city

will O
the O
weather O
be O
stormy B-condition_description
on O
january B-timeRange
the I-timeRange
15th I-timeRange
2026 I-timeRange
in O
the O
federated B-state
states I-state
of I-state
micronesia I-state

how O
much O
rain B-condition_description
in O
montana B-state
12 B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

is O
it O
humid B-condition_description
in O
caddo B-city
mills I-city
ky B-state

what O
will O
the O
humidity B-condition_description
be O
like O
in O
vi B-state
on O
june B-timeRange
the I-timeRange
fourteenth I-timeRange
2020 I-timeRange

is O
there O
a O
blizzard B-condition_description
coming O
to O
north B-city
bonneville I-city
oh B-state
around O
10 B-timeRange
o I-timeRange
clock I-timeRange

is O
there O
a O
depression B-condition_description
in O
solromar B-city
on O
december B-timeRange
7 I-timeRange
2033 I-timeRange

will O
it O
rain B-condition_description
in O
deersville B-city

will O
the O
sun B-condition_description
come O
out O
today B-timeRange
in O
houston B-city

is O
rainfall B-condition_description
forecast O
for O
flying B-city
hills I-city

weather O
forecast O
for O
snowstorm B-condition_description
on O
feb B-timeRange
fourth I-timeRange
in O
virgin B-state
islands I-state

what O
s O
the O
humidity B-condition_description
right O
now B-timeRange
in O
aguila B-city

is O
there O
expected O
of O
rainfall B-condition_description
in O
horton B-city
of O
connecticut B-state

will O
it O
be O
snowy B-condition_description
in O
pillow B-city
indiana B-state

is O
there O
a O
depression B-condition_description
in O
delta B-city
junction I-city

will O
there O
be O
a O
storm B-condition_description
nearby B-spatial_relation

will O
there O
be O
wind B-condition_description
in O
me B-state

how O
is O
faraway B-spatial_relation
cloudy B-condition_description
at O
02:45 B-timeRange
am I-timeRange
in O
brumley B-city

is O
there O
a O
storm B-condition_description
in O
the O
weather O
forecast O
for O
baraga B-city
oregon B-state

will O
there O
be O
a O
blizzard B-condition_description
at O
a O
4 B-timeRange
am I-timeRange
in O
sky B-city
valley I-city

will O
it O
hail B-condition_description
in O
villa B-city

how O
much O
wind B-condition_description
will O
there O
be O
in O
nm B-state
on O
november B-timeRange
11th I-timeRange

is O
there O
hail B-condition_description
forecast O
for O
hale B-city
center I-city
on O
7/22/2030 B-timeRange

is O
it O
overcast B-condition_description
in O
south B-state
carolina I-state

is O
there O
a O
blizzard B-condition_description
in O
tennessee B-city
colony I-city
ks B-state

how O
cloudy B-condition_description
is O
it O
in O
morrisonville B-city
kentucky B-state

will O
it O
blizzard B-condition_description
today B-timeRange
in O
sint B-country
maarten I-country

tell O
me O
when O
it O
ll O
be O
cloudy B-condition_description
in O
woodport B-city

how O
much O
rainfall B-condition_description
is O
there O
faraway B-spatial_relation
from O
douglass B-city

will O
it O
be O
cloudy B-condition_description
by O
five B-timeRange
pm I-timeRange
in O
gobler B-city
jersey B-country

will O
there O
be O
rainfall B-condition_description
faraway B-spatial_relation
from O
uganda B-country

is O
the O
forecast O
stormy B-condition_description
this O
afternoon B-timeRange
in O
maryland B-state

will O
it O
storm B-condition_description
in O
north B-city
sioux I-city
city I-city
al B-state

what O
is O
the O
forecast O
for O
assumption B-timeRange
of I-timeRange
mary I-timeRange
in O
in B-state
for O
the O
weather O
depression B-condition_description

is O
it O
going O
to O
be O
snowy B-condition_description
in O
concord B-city
utah B-state

will O
there O
be O
wind B-condition_description
in O
as B-state

is O
it O
sunny B-condition_description
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
in O
the O
pitcairn B-country
islands I-country

what O
is O
the O
pw B-state
forecast O
for O
stormy B-condition_description
weather O

what O
will O
be O
wind B-condition_description
speed O
in O
tiplersville B-city
south B-country
sudan I-country

will O
it O
be O
sunny B-condition_description
a O
lot O
in O
honduras B-country
next B-timeRange
autumn I-timeRange

will O
it O
snowstorm B-condition_description
next B-timeRange
week I-timeRange
in O
west B-city
winfield I-city
finland B-country

is O
there O
snowfall B-condition_description
nearby B-spatial_relation
american B-state
samoa I-state

will O
it O
be O
cloudy B-condition_description
in O
lenzburg B-city
papua B-country
new I-country
guinea I-country

is O
there O
a O
blizzard B-condition_description
in O
stonewood B-city

is O
there O
any O
predicted O
snowfall B-condition_description
in B-timeRange
2 I-timeRange
months I-timeRange
in O
vandalia B-city
el B-country
salvador I-country

will O
it O
storm B-condition_description
in O
kinder B-city
russia B-country

want O
to O
know O
the O
blizzard B-condition_description
weather O
condition O
in O
lake B-city
catherine I-city

there O
is O
fog B-condition_description
weather O
in O
grand B-city
lake I-city
nebraska B-state

what O
is O
the O
forecast O
for O
iceland B-country
and O
danville B-city
for O
rain B-condition_description
for O
nine B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

is O
there O
any O
snowfall B-condition_description
in O
shubuta B-city

is O
it O
going O
to O
get O
windy B-condition_description
today B-timeRange
in O
tunisia B-country

is O
there O
rain B-condition_description
in O
nauru B-country
at O
6 B-timeRange
am I-timeRange

will O
it O
rain B-condition_description
in O
paisley B-city

tell O
me O
if O
there O
s O
a O
snowstorm B-condition_description
in O
the O
forecast O
twenty B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange
in O
holtville B-city

will O
there O
be O
fog B-condition_description
in O
nebraska B-state

is O
there O
rain B-condition_description
in O
afghanistan B-country

is O
there O
forecast O
to O
be O
snow B-condition_description
in O
gu B-state
this B-timeRange
summer I-timeRange

will O
it O
be O
overcast B-condition_description
in B-timeRange
seventeen I-timeRange
minutes I-timeRange
in O
the O
united B-country
arab I-country
emirates I-country

will O
there O
be O
a O
storm B-condition_description
in O
palm B-city
city I-city
wv B-state

how O
humid B-condition_description
is O
it O
in O
paducah B-city

is O
there O
snowfall B-condition_description
in O
hineston B-city
new B-state
hampshire I-state

how O
much O
fog B-condition_description
is O
there O
in O
hahnville B-city

will O
there O
be O
a O
depression B-condition_description
in O
wheatley B-city

how O
much O
humidity B-condition_description
in O
mancos B-city

will O
it O
rain B-condition_description
on O
sep B-timeRange
25th I-timeRange
in O
east B-city
tawakoni I-city

will O
there O
be O
rainfall B-condition_description
the B-timeRange
day I-timeRange
after I-timeRange
tomorrow I-timeRange
far B-spatial_relation
from O
rodna B-geographic_poi
national I-geographic_poi
park I-geographic_poi

tell O
me O
when O
it O
ll O
be O
sunny B-condition_description
in O
ralls B-city
marshall B-country
islands I-country

is O
there O
a O
storm B-condition_description
in O
maliau-basin-conservation-area B-geographic_poi
now B-timeRange

is O
it O
snowy B-condition_description
in O
demotte B-city
ms B-state

will O
it O
be O
snowy B-condition_description
in O
crouch B-city
french B-country
polynesia I-country

is O
it O
snowy B-condition_description
in O
ocean B-city
shores I-city

what O
is O
the O
depression B-condition_description
forecast O
for O
in B-timeRange
five I-timeRange
years I-timeRange
in O
altyn-emel-nationalpark B-geographic_poi

is O
there O
a O
snowstorm B-condition_description
coming O
in O
dana B-city
at O
4 B-timeRange
pm I-timeRange

wuill O
it O
be O
cloudy B-condition_description
in O
dickson B-city
city I-city
illinois B-state

what O
is O
the O
forecasted O
humidity B-condition_description
in O
ghana B-country
for O
epiphany B-timeRange

is O
it O
overcast B-condition_description
in O
ziwa B-geographic_poi
rhino I-geographic_poi
sanctuary I-geographic_poi

is O
it O
overcast B-condition_description
close-by B-spatial_relation
in O
illinois B-state

tell O
me O
if O
there O
will O
be O
hail B-condition_description
at O
tea B-timeRange
time O
in O
nordland B-city

will O
it O
snow B-condition_description
in O
haigler B-city
bosnia B-country
and I-country
herzegovina I-country

is O
there O
a O
lot O
of O
sun B-condition_description
in O
qatar B-country

is O
the O
sun B-condition_description
coming O
out O
today B-timeRange
in O
lacassine B-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

will O
there O
be O
a O
lot O
of O
wind B-condition_description
in O
west B-city
fargo I-city
gu B-state

tell O
me O
if O
it O
will O
hail B-condition_description
in O
kyrgyzstan B-country

will O
it O
be O
rainy B-condition_description
in O
malta B-country

will O
there O
be O
a O
blizzard B-condition_description
in O
chapel B-geographic_poi
point I-geographic_poi
state I-geographic_poi
park I-geographic_poi
or O
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

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it O
hail B-condition_description
in B-timeRange
1 I-timeRange
second I-timeRange
on O
riceboro B-city
delaware B-state

is O
it O
windy B-condition_description
in O
custar B-city

what O
is O
the O
forecast O
for O
papua B-country
new I-country
guinea I-country
for O
lunch B-timeRange
for O
rainfall B-condition_description

will O
there O
be O
s O
snowstorm B-condition_description
at O
my O
current B-current_location
location I-current_location
this O
week B-timeRange

is O
it O
forecast O
to O
be O
stormy B-condition_description
close B-spatial_relation
to O
nimule-nationalpark B-geographic_poi
1 B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange

tell O
me O
if O
it O
ll O
be O
overcast B-condition_description
nearby B-spatial_relation
papua B-country
new I-country
guinea I-country

what O
is O
the O
sri B-country
lanka I-country
forecast O
for O
snow B-condition_description

will O
it O
hail B-condition_description
in B-timeRange
1 I-timeRange
minute I-timeRange
in O
toms B-city
river I-city

is O
it O
sunny B-condition_description
in O
qatar B-country

will O
it O
be O
rainy B-condition_description
faraway B-spatial_relation
in O
charleston B-geographic_poi
lake I-geographic_poi
provincial I-geographic_poi
park I-geographic_poi
in B-timeRange
13 I-timeRange
hours I-timeRange

will O
it O
be O
rainy B-condition_description
nine B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
close B-spatial_relation
to O
the O
matlacha B-geographic_poi
pass I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

is O
there O
going O
to O
be O
a O
depression B-condition_description
in O
my O
current B-current_location
location I-current_location
on O
nov B-timeRange
the I-timeRange
ninth I-timeRange

will O
it O
be O
stormy B-condition_description
in O
saint B-country
pierre I-country
and I-country
miquelon I-country
in O
the O
city O
of O
wenham B-city

play O
some O
showtunes B-genre
music O

i O
want O
to O
hear O
some O
psychedelic B-genre
rock I-genre

i O
m O
in O
the O
mood O
to O
listen O
to O
meditative B-genre
music O

play O
some O
chanson B-genre
music O

play O
techno B-genre
music O

play O
some O
retro B-genre
music O

play O
some O
soul B-genre
music O

play O
some O
thrash B-genre
metal I-genre

play O
tribal B-genre

play O
some O
salsa B-genre
music O

play O
music O
in O
the O
genre O
soundtrack B-genre

i O
want O
to O
hear O
opera B-genre
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netflix B-service

use O
deezer B-service
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to O
play O
opera B-genre

can O
you O
play O
me O
some O
pop-folk B-genre
music O

i O
want O
to O
hear O
techno-industrial B-genre
music O

play O
pop B-genre
music O
with O
groove B-service
shark I-service

play O
some O
art B-genre
punk I-genre

play O
some O
tango B-genre

play O
something O
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louisiana B-genre
blues I-genre

i O
d O
like O
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listen O
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youtube B-service

play O
some O
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music O
on O
spotify B-service

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groove B-service
shark I-service
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play O

play O
music O
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last B-service
fm I-service

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music O
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youtube B-service

play O
satire B-genre
music O

play O
some O
gothic B-genre
rock I-genre

play O
acid B-genre
punk I-genre
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play O
me O
some O
goa B-genre

play O
revival B-genre
music O

play O
some O
industrial B-genre
music O
on O
lastfm B-service

play O
some O
bass B-genre
music O

play O
some O
happy B-genre
gabber I-genre

play O
hardcore B-genre
music O

play O
some O
psychedelic B-genre
rock I-genre

play O
blues B-genre
on O
vimeo B-service

use O
service O
vimeo B-service
the O
genre O
slow B-genre
rock I-genre

play O
slow B-genre
rock I-genre
on O
lastfm B-service

play O
southern B-genre
rock I-genre
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play O
some O
gangsta B-genre
music O

play O
easy B-genre
listening I-genre

can O
you O
play O
a O
sonata B-genre

play O
some O
grunge B-genre

play O
jazz B-genre
music O
by O
zvooq B-service

play O
a O
native B-genre
us I-genre
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on O
last B-service
fm I-service

play O
the O
music O
genre O
synthpop B-genre

please O
play O
me O
something O
by O
new B-genre
wave I-genre
of I-genre
american I-genre
heavy I-genre
metal I-genre

play O
some O
classical B-genre
music O
on O
spotify B-service

please O
play O
me O
some O
satire B-genre
music O

i O
need O
some O
ambient B-genre
music O

i O
want O
to O
hear O
some O
freestyle B-genre
music O

open O
spotify B-service
and O
play O
a O
couple O
of O
celtic B-genre
songs O

play O
some O
psychadelic B-genre
music O

play O
christian B-genre
gangsta I-genre
rap I-genre

play O
some O
rock B-genre
music O
on O
youtube B-service

play O
gothic B-genre
music O

please O
play O
some O
black B-genre
metal I-genre
music O

play O
opera B-genre
music O
on O
google B-service
music I-service

play O
instrumental B-genre
pop I-genre

i O
want O
to O
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gothic B-genre
rock I-genre
on O
lastfm B-service

please O
play O
something O
that O
s O
freak B-genre
folk I-genre
on O
google B-service
music I-service

play O
some O
gospel B-genre
music O

can O
you O
play O
crossover B-genre

play O
some O
dance B-genre
on O
groove B-service
shark I-service

play O
some O
house B-genre
music O

play O
some O
jpop B-genre
on O
google B-service
music I-service

play O
some O
alternative B-genre
music O
on O
vimeo B-service

i O
want O
to O
hear O
something O
from O
post-punk B-genre
revival I-genre

play O
some O
contemporary B-genre
christian I-genre
on O
groove B-service
shark I-service

play O
pop B-genre

play O
some O
christian B-genre
rock I-genre

play O
some O
space B-genre
music O
on O
google B-service
music I-service

play O
me O
a O
bluegrass B-genre
song B-music_item

listen O
to O
acapella B-genre

play O
me O
some O
grunge B-genre
music O

can O
i O
listen O
to O
music O
from O
the O
easy B-genre
listening I-genre
genre O

i O
need O
to O
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some O
r&b B-genre
music O
off O
of O
iheart B-service

play O
slow B-genre
rock I-genre
music O

play O
some O
best B-sort
selling O
rave B-genre
songs O

play O
me O
some O
terror B-genre
music O

play O
some O
synthpop B-genre

play O
some O
acapella B-genre
music O

play O
drum B-genre
& I-genre
bass I-genre
music O

i O
want O
to O
hear O
some O
acid B-genre
punk I-genre
music O

i O
d O
like O
to O
hear O
some O
trip-hop B-genre

play O
some O
deezer B-service
oldies B-genre
music O

play O
goa B-genre
music O
on O
google B-service
music I-service

can O
you O
play O
some O
synthpop B-genre
music O
on O
youtube B-service

play O
some O
avantgarde B-genre
music O
on O
netflix B-service

play O
some O
techno B-genre

play O
some O
noise B-genre
music O
on O
netflix B-service

play O
some O
fun-punk B-genre

play O
some O
chanson B-genre
music O

play O
satire B-genre

play O
genre O
opera B-genre

play O
pandora B-service
christian B-genre
gangsta I-genre
rap I-genre

play O
some O
chanson B-genre
style O
music O

play O
some O
folk B-genre
tunes O

play O
any O
chanson B-genre

can O
i O
get O
a O
table O
at O
the B-restaurant_name
fort I-restaurant_name

i O
d O
like O
to O
eat O
at O
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firehouse I-restaurant_name
restaurant I-restaurant_name

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table O
for O
one B-party_size_number
at O
monty’s B-restaurant_name
hotel I-restaurant_name
secunderabad I-restaurant_name

book O
a O
table O
at O
top B-restaurant_name
pot I-restaurant_name
doughnuts I-restaurant_name
in B-timeRange
16 I-timeRange
hours I-timeRange
for O
5 B-party_size_number

i O
need O
a O
table O
at O
eddie’s B-restaurant_name
attic I-restaurant_name
in O
nevada B-state
for O
one B-party_size_number

i O
need O
a O
table O
at O
surf B-restaurant_name
taco I-restaurant_name
in O
east B-city
uniontown I-city

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table O
for O
10 B-party_size_number
at O
the B-restaurant_name
dome I-restaurant_name
edinburgh I-restaurant_name

book O
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table O
for O
nine B-party_size_number
at O
canteen B-restaurant_name
lunch I-restaurant_name
in I-restaurant_name
the I-restaurant_name
alley I-restaurant_name
at O
midnight B-timeRange

book O
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table O
at O
t-rex B-restaurant_name
in B-timeRange
one I-timeRange
minute I-timeRange
in O
osierfield B-city

i O
need O
a O
reservation O
for O
national B-restaurant_name
coney I-restaurant_name
island I-restaurant_name
with O
a O
party O
of O
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in O
nv B-state

i O
need O
a O
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for O
6 B-party_size_number
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cherwell B-restaurant_name
boathouse I-restaurant_name

i O
need O
a O
table O
at O
the B-restaurant_name
middle I-restaurant_name
east I-restaurant_name
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for O
a O
party O
of O
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book O
san B-restaurant_name
francisco I-restaurant_name
brewing I-restaurant_name
company I-restaurant_name
for O
two B-party_size_number
located O
at O
al B-state

i O
need O
to O
book O
the O
fashion B-restaurant_name
cafe I-restaurant_name
for O
meal B-timeRange
in O
lavina B-city

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slippery B-restaurant_name
noodle I-restaurant_name
inn I-restaurant_name
in O
gober B-city

book O
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table O
at O
atlantic B-restaurant_name
grill I-restaurant_name
in O
lofgreen B-city

book O
a O
table O
for O
a O
party O
of O
twelve B-timeRange
in O
lewisville B-city
american B-state
samoa I-state
for O
a O
party O
of O
7 B-party_size_number
at O
the O
ballachulish B-restaurant_name
house I-restaurant_name

i O
need O
a O
reservation O
for O
the O
oasis B-restaurant_name
drive-in I-restaurant_name
for O
a O
party O
of O
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in O
vermont B-state
at O
the B-restaurant_name
maisonette I-restaurant_name

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house I-restaurant_name
for O
7/16/2027 B-timeRange

book O
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a O
table O
for O
seven B-party_size_number
in O
co-operative B-restaurant_name
block I-restaurant_name
building I-restaurant_name
nd B-state

i O
need O
seats O
for O
6 B-party_size_number
at O
char B-restaurant_name
no I-restaurant_name
4 I-restaurant_name
in O
georgia B-state

where O
is O
chips B-restaurant_name
in O
crouch B-city

party O
for O
ten B-party_size_number
at O
national B-restaurant_name
coney I-restaurant_name
island I-restaurant_name
in O
de B-state

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table O
in O
belhaven B-city
for O
a O
party O
of O
seven B-party_size_number
at O
the O
great B-restaurant_name
house I-restaurant_name
at I-restaurant_name
sonning I-restaurant_name

restaurant B-restaurant_type
named O
the B-restaurant_name
palm I-restaurant_name
in O
tennyson B-city
mi B-state

i O
d O
like O
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eat O
at O
old B-restaurant_name
dutch I-restaurant_name
in B-timeRange
15 I-timeRange
seconds I-timeRange
in O
northern B-state
mariana I-state
islands I-state

book O
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on O
the O
23 B-timeRange
in O
illinois B-state
at O
the O
maison B-restaurant_name
parthenais-perrault I-restaurant_name
ii I-restaurant_name

book O
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table O
for O
6 B-party_size_number
in O
the B-restaurant_name
cheese I-restaurant_name
course I-restaurant_name
blocher B-city
on O
february B-timeRange
the I-timeRange
10th I-timeRange

book O
georgetown B-restaurant_name
cupcake I-restaurant_name
in O
keller B-city
for O
tea B-timeRange
time O

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table O
at O
top B-restaurant_name
pot I-restaurant_name
doughnuts I-restaurant_name
in O
greensburg B-city
american B-state
samoa I-state

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bobcat B-restaurant_name
bite I-restaurant_name
in O
needmore B-city
for O
ten B-timeRange
am I-timeRange

on O
10/14/2026 B-timeRange
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have O
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to O
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at O
coney B-restaurant_name
island I-restaurant_name
hot I-restaurant_name
dog I-restaurant_name
stand I-restaurant_name

book O
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table O
for O
3 B-party_size_number
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one O
of O
the O
restaurants B-restaurant_name
in I-restaurant_name
washington I-restaurant_name
d I-restaurant_name
c I-restaurant_name
in O
riverview B-city

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a O
reservation O
at O
rustic B-restaurant_name
inn I-restaurant_name

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on I-restaurant_name
clark I-restaurant_name
in O
irvington B-city
for O
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in B-timeRange
one I-timeRange
hour I-timeRange

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union B-restaurant_name
oyster I-restaurant_name
house I-restaurant_name
in O
guanica B-city
puerto B-state
rico I-state

i O
need O
a O
reservation O
for O
the B-restaurant_name
french I-restaurant_name
laundry I-restaurant_name
in O
oh B-state
for O
six B-party_size_number

make O
me O
a O
reservation O
in O
crugers B-city
at O
marlton B-restaurant_name
circle I-restaurant_name
for O
a O
party O
of O
eight B-party_size_number

book O
a O
spot O
at O
rimsky-korsakoffee B-restaurant_name
house I-restaurant_name
in O
mackville B-city

book O
a O
table O
for O
1 B-party_size_number
at O
ringside B-restaurant_name
steakhouse I-restaurant_name
in O
hurricane B-city

book O
a O
table O
for O
6 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
pershing B-restaurant_name
square I-restaurant_name
manhattan I-restaurant_name
at O
two B-timeRange
am I-timeRange

book O
the B-restaurant_name
fry I-restaurant_name
bread I-restaurant_name
house I-restaurant_name
for O
seven B-party_size_number
in O
olive B-city

book O
a O
reservation O
for O
city B-restaurant_name
tavern I-restaurant_name
in O
long B-city
bridge I-city

i O
need O
a O
booking O
for O
seven B-party_size_number
people O
at O
metropolitan B-restaurant_name
museum I-restaurant_name
of I-restaurant_name
art I-restaurant_name

book O
reservations O
at O
phase B-restaurant_name
1 I-restaurant_name
in O
la B-city
jara I-city

book O
a O
reservation O
for O
1 B-party_size_number
at O
pm B-restaurant_name
park I-restaurant_name
clear I-restaurant_name
lake I-restaurant_name
iowa I-restaurant_name
in O
mongolia B-country
in B-timeRange
1 I-timeRange
hour I-timeRange

find O
me O
a O
table O
for O
a O
cafe B-restaurant_name
during O
my O
guinea B-country
trip O
for O
one B-party_size_number

i O
need O
a O
reservation O
for O
02:53 B-timeRange
at O
hotel B-restaurant_name
arctic I-restaurant_name
in O
state B-city
road I-city

i O
need O
a O
reservation O
for O
the B-restaurant_name
berghoff I-restaurant_name
in O
jamaica B-country
in B-timeRange
18 I-timeRange
seconds I-timeRange

book O
a O
table O
for O
five B-party_size_number
at O
the B-restaurant_name
training I-restaurant_name
table I-restaurant_name

book O
a O
table O
at O
the O
irma B-restaurant_name
hotel I-restaurant_name
in O
mount B-city
repose I-city

i O
want O
to O
book O
meriton B-restaurant_name
grand I-restaurant_name
hotel I-restaurant_name
tallinn I-restaurant_name
in O
new B-state
jersey I-state
for O
four B-party_size_number
people O

book O
me O
a O
rustic B-restaurant_name
inn I-restaurant_name
restaurant B-restaurant_type
for O
8 B-party_size_number
members O
at O
nappanee B-city

book O
a O
spot O
for O
8 B-party_size_number
at O
the B-restaurant_name
kitchin I-restaurant_name
on O
october B-timeRange
the I-timeRange
13th I-timeRange
2039 I-timeRange

book O
a O
table O
at O
jacob B-restaurant_name
wirth I-restaurant_name
restaurant I-restaurant_name
for O
8 B-party_size_number

i O
want O
to O
eat O
breakfast B-timeRange
at O
the O
green B-restaurant_name
restaurant I-restaurant_name
certification I-restaurant_name

find O
a O
reservation O
at O
boone B-restaurant_name
tavern I-restaurant_name
for O
4 B-party_size_number
people O
in O
10:24 B-timeRange

i O
want O
a O
table O
for O
9 B-party_size_number
in O
loyola B-city
at O
gus B-restaurant_name
stevens I-restaurant_name
seafood I-restaurant_name
restaurant I-restaurant_name
& I-restaurant_name
buccaneer I-restaurant_name
lounge I-restaurant_name

book O
laurelhurst B-restaurant_name
theater I-restaurant_name
for O
8 B-party_size_number
people O

i O
have O
a O
party O
of O
four B-party_size_number
in O
japan B-country
and O
need O
a O
reservation O
at O
rimsky-korsakoffee B-restaurant_name
house I-restaurant_name
on O
aug B-timeRange
the I-timeRange
3rd I-timeRange

book O
the B-restaurant_name
oriel I-restaurant_name
in O
allison B-city
for O
a O
party O
of O
four B-party_size_number

book O
a O
table O
at O
laurie B-restaurant_name
beechman I-restaurant_name
theatre I-restaurant_name
for O
a O
party O
of O
4 B-party_size_number
in O
utah B-state

book O
a O
table O
at O
central B-restaurant_name
grocery I-restaurant_name
on O
mar B-timeRange
22nd I-timeRange
2020 I-timeRange

table O
at O
nankin B-restaurant_name
cafe I-restaurant_name
fr O
one B-party_size_number

book O
a O
table O
for O
4 B-party_size_number
at O
fish B-restaurant_name
express I-restaurant_name

i O
want O
to O
go O
to O
the O
freight B-restaurant_name
house I-restaurant_name
in O
gabon B-country

book O
a O
table O
at O
black B-restaurant_name
rapids I-restaurant_name
roadhouse I-restaurant_name
in O
antarctica B-country
for O
nine B-party_size_number

book O
mars B-restaurant_name
2112 I-restaurant_name
in O
rwanda B-country
for O
4 B-party_size_number
people O

book O
in O
southern B-city
shores I-city
for O
8 B-party_size_number
at O
ariston B-restaurant_name
cafe I-restaurant_name

at O
8 B-timeRange
am I-timeRange
i O
want O
to O
eat O
at O
the B-restaurant_name
rosebud I-restaurant_name
in O
the O
federated B-state
states I-state
of I-state
micronesia I-state

book O
a O
table O
for O
six B-party_size_number
at O
the B-restaurant_name
cherry I-restaurant_name
street I-restaurant_name
tavern I-restaurant_name
for O
january B-timeRange
sixteenth I-timeRange
2024 I-timeRange

please O
book O
a O
room O
in O
the B-restaurant_name
river I-restaurant_name
café I-restaurant_name
restaurant B-restaurant_type
to O
accommodate O
eight B-party_size_number
members O
in O
andorra B-country

book O
a O
table O
at O
dillard B-restaurant_name
house I-restaurant_name
in O
exell B-city
ia B-state

book O
in O
falkland B-country
islands I-country
at O
atomic B-restaurant_name
cafe I-restaurant_name

book O
at O
the B-restaurant_name
halal I-restaurant_name
guys I-restaurant_name
on O
oct B-timeRange
17 I-timeRange

need O
a O
table O
at O
uncommon B-restaurant_name
grounds I-restaurant_name
coffeehouse I-restaurant_name
at O
eleven B-timeRange
for O
nine B-party_size_number

i O
need O
a O
reservation O
for O
roscoff B-restaurant_name
restaurant I-restaurant_name
in O
valley B-city
mills I-city

book O
the O
dunbrody B-restaurant_name
country I-restaurant_name
house I-restaurant_name
hotel I-restaurant_name
in O
ne B-state
for O
8 B-party_size_number
people O

want O
a O
table O
at O
monty’s B-restaurant_name
hotel I-restaurant_name
secunderabad I-restaurant_name
in O
the O
state O
of O
vermont B-state

book O
the O
last B-restaurant_name
exit I-restaurant_name
on I-restaurant_name
brooklyn I-restaurant_name
5 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
for O
one B-party_size_number
person O

book O
reservations O
for O
five B-party_size_number
at O
eleven B-restaurant_name
madison I-restaurant_name
park I-restaurant_name
today B-timeRange
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
from O
flaxton B-city

book O
a O
reservation O
for O
seven B-party_size_number
people O
at O
fraser B-restaurant_name
mansion I-restaurant_name
in O
il B-state

book O
the B-restaurant_name
kegs I-restaurant_name
drive-in I-restaurant_name
in B-timeRange
37 I-timeRange
weeks I-timeRange
in O
saudi B-country
arabia I-country

i O
need O
a O
reservation O
for O
3 B-party_size_number
at O
clinton B-restaurant_name
street I-restaurant_name
baking I-restaurant_name
company I-restaurant_name
& I-restaurant_name
restaurant I-restaurant_name

make O
me O
a O
reservation O
for O
a O
party O
of O
six B-party_size_number
at O
the B-restaurant_name
k I-restaurant_name
club I-restaurant_name
on O
feb B-timeRange
7th I-timeRange

i O
want O
seats O
for O
4 B-party_size_number
at O
a O
sichuan B-restaurant_name
food I-restaurant_name
restaurant B-restaurant_type
in O
indonesia B-country

find O
a O
reservation O
for O
eight B-party_size_number
at O
rhodes B-restaurant_name
twenty I-restaurant_name
four I-restaurant_name
in O
gu B-state

make O
me O
a O
reservation O
at O
the B-restaurant_name
restaurant I-restaurant_name
at I-restaurant_name
meadowood I-restaurant_name
for O
a O
party O
of O
7 B-party_size_number
in O
armenia B-country

i O
want O
to O
make O
a O
reservation O
at O
the O
conflict B-restaurant_name
kitchen I-restaurant_name
for O
one B-party_size_number

i O
d O
like O
to O
eat O
at O
the O
original B-restaurant_name
spanish I-restaurant_name
kitchen I-restaurant_name
in O
north B-state
carolina I-state

book O
a O
spot O
at O
a O
crown B-restaurant_name
burgers I-restaurant_name
that O
is O
close B-spatial_relation
by I-spatial_relation
west B-city
compton I-city

lets O
eat O
at O
newport B-restaurant_name
creamery I-restaurant_name
in O
carnot B-city

reserve O
me O
seating O
midday B-timeRange
at O
bear B-restaurant_name
hotel I-restaurant_name

i O
need O
to O
book O
the O
beardslee B-restaurant_name
castle I-restaurant_name
in O
albania B-country
for O
me B-party_size_description
cassie I-party_size_description
and I-party_size_description
lesley I-party_size_description

need O
a O
table O
at O
the B-restaurant_name
goof I-restaurant_name
in O
croatia B-country
for O
a O
party O
of O
three B-party_size_number

i O
need O
to O
book O
a O
theme B-restaurant_name
restaurant I-restaurant_name
this B-timeRange
month I-timeRange
in O
chile B-country

i O
want O
to O
eat O
louisiana B-restaurant_name
fried I-restaurant_name
chicken I-restaurant_name
in O
mccoll B-city
ia B-state

can O
you O
place O
a O
reservation O
for O
me O
at O
ariston B-restaurant_name
cafe I-restaurant_name

i O
need O
a O
reservation O
for O
the B-restaurant_name
original I-restaurant_name
house I-restaurant_name
of I-restaurant_name
pies I-restaurant_name
with O
three B-party_size_number
people O
in O
plandome B-city
manor I-city
pa B-state

book O
a O
table O
at O
04:36:28 B-timeRange
at O
the O
northeast B-cuisine
indian I-cuisine
restaurant B-restaurant_type

make O
me O
a O
reservation O
at O
a O
bar B-restaurant_type
for O
a O
party O
of O
7 B-party_size_number
in O
indonesian B-cuisine

book O
a O
table O
in O
mt B-state
for O
3 B-party_size_number
for O
now B-timeRange
at O
a O
pub B-restaurant_type
that O
serves O
south B-cuisine
indian I-cuisine

i O
want O
a O
restaurant B-restaurant_type
reservation O
for O
a O
party O
of O
8 B-party_size_number
at O
a O
vegetarian B-cuisine
tea B-restaurant_type
house I-restaurant_type

i O
d O
like O
to O
eat O
english B-cuisine
cuisine O
at O
a O
restaurant B-restaurant_type
in O
ettrick B-city

book O
a O
southeastern B-cuisine
brazilian I-cuisine
cusinie O
pub B-restaurant_type

book O
a O
spot O
at O
a O
tsipouro B-cuisine
restaurant B-restaurant_type
in O
connecticut B-state

looking O
for O
a O
tibetan B-cuisine
restaurant B-restaurant_type
and O
need O
reservations O
for O
1 B-party_size_number

book O
a O
russian B-cuisine
restaurant B-restaurant_type
for O
4 B-party_size_number
people O

we O
want O
to O
eat O
at O
a O
brasserie B-restaurant_type
with O
sicilian B-cuisine
food O
in O
nebraska B-state

get O
me O
a O
table O
for O
5 B-party_size_number
at O
a O
restaurant B-restaurant_type
which O
serves O
south B-cuisine
tyrolean I-cuisine

i O
need O
a O
restaurant B-restaurant_type
booking O
for O
2 B-party_size_number
people O
this B-timeRange
month I-timeRange
at O
a O
indian B-cuisine
place O
in O
climax B-city
springs I-city
new B-state
mexico I-state

i O
need O
a O
table O
at O
a O
czech B-cuisine
pub B-restaurant_type
at O
seven B-party_size_number

i O
d O
like O
a O
table O
for O
7 B-party_size_number
at O
ten B-timeRange
pm I-timeRange
at O
a O
cafeteria B-restaurant_type
in O
al B-state
that O
serves O
malaysian B-cuisine
food O

book O
indian B-cuisine
food O
at O
a O
highly B-sort
rated I-sort
pub B-restaurant_type
for O
1 B-party_size_number
for O
02:22 B-timeRange
pm I-timeRange

book O
a O
bar B-restaurant_type
table O
for O
tonight B-timeRange
for O
rajasthani B-cuisine
food O

i O
want O
a O
table O
for O
9 B-party_size_number
at O
the O
taverna B-cuisine
pub B-restaurant_type

book O
a O
bar B-restaurant_type
with O
mediterranean B-cuisine
food O
for O
three B-party_size_number
people O

book O
a O
table O
at O
a O
brasserie B-restaurant_type
type O
restaurant B-restaurant_type
that O
serves O
jain B-cuisine
for O
a O
party O
of O
8 B-party_size_number

find O
me O
a O
table O
at O
a O
javanese B-cuisine
brasserie B-restaurant_type

book O
a O
brazilian B-cuisine
diner B-restaurant_type
for O
9 B-party_size_number
that O
s O
highly B-sort
rated I-sort
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
comoros B-country

i O
need O
a O
table O
at O
a O
tavern B-restaurant_type
that O
has O
bougatsa B-cuisine

give O
me O
a O
top-rated B-sort
restaurant B-restaurant_type
that O
s O
eastern B-cuisine
european I-cuisine

i O
have O
eight B-party_size_number
that O
would O
like O
to O
eat O
cretan B-cuisine
in O
a O
cafeteria B-restaurant_type
and O
need O
reservations O

book O
a O
table O
in O
eastern B-cuisine
european I-cuisine
restaurant B-restaurant_type
in O
macedonia B-country

book O
a O
spot O
at O
a O
restaurant B-restaurant_type
with O
trattoria B-cuisine
in O
otho B-city
de B-state

book O
reservations O
at O
a O
restaurant B-restaurant_type
that O
serves O
puglia B-cuisine
for O
jan B-timeRange
24th I-timeRange

i O
need O
a O
table O
for O
six B-party_size_number
at O
a O
bar B-restaurant_type
that O
serves O
varenyky B-cuisine

book O
a O
spot O
at O
a O
highly B-sort
rated I-sort
afghan B-cuisine
restaurant B-restaurant_type

i O
would O
like O
to O
book O
a O
food B-restaurant_type
truck I-restaurant_type
with O
mughlai B-cuisine
cuisine O
in O
somalia B-country

reserve O
a O
table O
for O
two B-party_size_number
at O
a O
restaurant B-restaurant_type
which O
serves O
creole B-cuisine
around B-spatial_relation
here O
in O
myanmar B-country

book O
me O
a O
reservation O
for O
an O
osteria B-restaurant_type
campanian B-cuisine
on O
jun B-timeRange
the I-timeRange
7th I-timeRange
2022 I-timeRange

restaurant B-restaurant_type
scandinavian B-cuisine
in O
grenada B-country

book O
a O
reservation O
for O
seven B-party_size_number
people O
at O
a O
highly B-sort
rated I-sort
restaurant B-restaurant_type
that O
serves O
moroccan B-cuisine
food O
in O
east B-city
greenville I-city

book O
a O
irish B-cuisine
serving O
brasserie B-restaurant_type
in O
az B-state

reserve O
a O
table O
for O
nine B-party_size_number
people O
at O
a O
caribbean B-cuisine
restaurant B-restaurant_type
in O
white B-city
creek I-city
utah B-state

i O
need O
a O
cambodian B-cuisine
brasserie B-restaurant_type
restaurant I-restaurant_type
that O
is O
top-rated B-sort

book O
a O
table O
for O
seven B-party_size_number
in O
a O
pub B-restaurant_type
in O
iraq B-country
which O
offers O
gluten B-cuisine
free I-cuisine
food O
about O
141 B-timeRange
days I-timeRange
from I-timeRange
now I-timeRange

find O
a O
popular B-sort
diner B-restaurant_type
that O
serves O
brazilian B-cuisine
close B-spatial_relation
by I-spatial_relation
oklahoma B-state
for O
nine B-party_size_number
people O

i O
m O
looking O
to O
book O
a O
table O
at O
a O
gastropub B-restaurant_type
that O
serves O
vegetarian B-cuisine
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
team I-party_size_description

book O
a O
reservation O
for O
a O
trentino B-cuisine
restaurant B-restaurant_type
in O
kansas B-state

holly B-party_size_description
and I-party_size_description
brittany I-party_size_description
need O
a O
reservation O
for O
a O
sardinian B-cuisine
tea B-restaurant_type
house I-restaurant_type
close B-spatial_relation
by I-spatial_relation
co B-state

i O
want O
a O
table O
for O
4 B-party_size_number
at O
any O
kind O
of O
goiano B-cuisine
bar B-restaurant_type

book O
a O
maharashtrian B-cuisine
restaurant B-restaurant_type
please O

i O
want O
to O
book O
the O
best B-sort
steakhouse B-restaurant_type
with O
south B-cuisine
american I-cuisine
cuisines O
in O
alaska B-state

i O
need O
to O
reserve O
a O
table O
for O
my B-party_size_description
baby I-party_size_description
and I-party_size_description
i I-party_size_description
at O
a O
tibetan B-cuisine
tavern B-restaurant_type

find O
a O
table O
at O
a O
joint B-restaurant_type
with O
northern B-cuisine
brazilian I-cuisine
food O
in O
ga B-state

book O
a O
table O
for O
5 B-party_size_number
at O
a O
pub B-restaurant_type
during O
my O
macedonia B-country
trip O
that O
serves O
czech B-cuisine
food O

take O
me O
to O
the O
top-rated B-sort
taverna B-restaurant_type
in O
sealy B-city
for O
trattoria B-cuisine
next B-timeRange
week I-timeRange
for O
5 B-party_size_number

can O
you O
get O
me O
a O
table O
reserved O
for O
three B-timeRange
hundred I-timeRange
thirty I-timeRange
three I-timeRange
days I-timeRange
from I-timeRange
now I-timeRange
for O
eight B-party_size_number
people O
at O
a O
highly B-sort
rated I-sort
fast B-restaurant_type
food I-restaurant_type
place O
that O
serves O
north B-cuisine
indian I-cuisine
food O
not B-spatial_relation
distant I-spatial_relation
from O
moores B-city
mill I-city

book O
a O
spot O
at O
an O
osteria B-restaurant_type
that O
has O
goiano B-cuisine
in O
ward B-city
springs I-city

i O
d O
like O
a O
table O
for O
3 B-party_size_number
at O
a O
brasserie B-restaurant_type
in O
hillview B-city
ne B-state
that O
has O
mineiro B-cuisine

book O
a O
northeastern B-cuisine
brazilian I-cuisine
restaurant B-restaurant_type
for O
10 B-timeRange
am I-timeRange

i O
want O
to O
book O
an O
indonesian B-cuisine
food B-restaurant_type
truck I-restaurant_type

reserve O
me O
a O
table O
a O
bar B-restaurant_type
that O
serves O
african B-cuisine
food O
for O
thirteen B-timeRange
o I-timeRange
clock I-timeRange
for O
1 B-party_size_number
in O
moravian B-city
falls I-city

book O
a O
spot O
for O
seven B-party_size_number
at O
a O
japanese B-cuisine
joint B-restaurant_type
in O
grandview B-city
heights I-city

book O
a O
caucasian B-cuisine
serving O
steakhouse B-restaurant_type
for O
4 B-party_size_number
in O
saint B-country
pierre I-country
and I-country
miquelon I-country

please O
book O
a O
bar B-restaurant_type
type O
goiano B-cuisine
room O
accommodate O
for O
2 B-party_size_number
members O
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
in O
pr B-state

make O
me O
a O
reservation O
at O
a O
popular B-sort
place O
that O
serves O
udupi B-cuisine
at O
a O
restaurant B-restaurant_type

i O
need O
a O
party O
of O
4 B-party_size_number
to O
get O
a O
table O
reserved O
at O
a O
pub B-restaurant_type
with O
southeastern B-cuisine
cuisine O

book O
the O
best B-sort
halal B-cuisine
restaurant B-restaurant_type
in O
slovakia B-country
for O
brigitte B-party_size_description
taylor I-party_size_description
katelyn I-party_size_description
and I-party_size_description
natalie I-party_size_description
on O
jun B-timeRange
2 I-timeRange

book O
a O
restaurant B-restaurant_type
this B-timeRange
year I-timeRange
in O
pagosa B-city
junction I-city
for O
a O
romanian B-cuisine
stle O
cusine O
for O
a O
party O
of O
two B-party_size_number

book O
spot O
at O
a O
balinese B-cuisine
joint B-restaurant_type

i O
want O
to O
book O
a O
restaurant B-restaurant_type
in O
barbados B-country
that O
serves O
creole B-cuisine

book O
a O
table O
for O
sep B-timeRange
the I-timeRange
second I-timeRange
2020 I-timeRange
at O
a O
highly B-sort
rated I-sort
place O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
baby I-party_size_description
at O
a O
joint B-restaurant_type
serving O
cambodian B-cuisine

book O
a O
table O
for O
three B-party_size_number
at O
a O
middle B-cuisine
eastern I-cuisine
gastropub B-restaurant_type

book O
a O
reservation O
for O
six B-party_size_number
for O
a O
tyrolean B-cuisine
oyster B-restaurant_type
bar I-restaurant_type

book O
a O
popular B-sort
tuscan B-cuisine
restaurant B-restaurant_type
for O
7 B-party_size_number
people O
in O
west B-city
richfield I-city

book O
me O
a O
table O
at O
a O
romanian B-cuisine
brasserie B-restaurant_type
in O
rixford B-city

book O
a O
southeastern B-cuisine
restaurant B-restaurant_type
in O
heard B-country
island I-country
and I-country
mcdonald I-country
islands I-country

i O
would O
like O
to O
book O
a O
goan B-cuisine
restaurant B-restaurant_type
for O
8 B-party_size_number

restaurant B-restaurant_type
in O
elberta B-city
for O
alma B-party_size_description
deana I-party_size_description
and I-party_size_description
olga I-party_size_description
at O
18:49:20 B-timeRange
that O
serves O
tsipouro B-cuisine

i O
want O
to O
go O
to O
that O
popular B-sort
ethiopian B-cuisine
restaurant B-restaurant_type

i O
want O
to O
take O
my B-party_size_description
parents I-party_size_description
and I-party_size_description
i I-party_size_description
to O
eat O
some O
romagna B-cuisine
at O
a O
brasserie B-restaurant_type
in O
north B-state
dakota I-state

book O
a O
reservation O
for O
one B-party_size_number
at O
an O
italian B-cuisine
taverna B-restaurant_type
for O
two B-timeRange
pm I-timeRange
in O
hutchings B-city
north B-state
dakota I-state

i O
d O
like O
a O
bar B-restaurant_type
with O
hawaiian B-cuisine
food O
in O
nd B-state

book O
a O
reservation O
for O
a O
top-rated B-sort
lebanese B-cuisine
fast B-restaurant_type
food I-restaurant_type
place O

book O
a O
highly B-sort
rated I-sort
place O
for O
my B-party_size_description
momy I-party_size_description
and I-party_size_description
i I-party_size_description
for O
mughlai B-cuisine
food O
at O
a O
restaurant B-restaurant_type

book O
a O
spot O
at O
a O
pub B-restaurant_type
with O
tatar B-cuisine
in O
cambodia B-country

i O
need O
to O
book O
a O
restaurant B-restaurant_type
that O
serves O
sundanese B-cuisine
in O
bonaire B-country
for O
7 B-party_size_number

book O
a O
spot O
for O
me B-party_size_description
tiffany I-party_size_description
and I-party_size_description
sondra I-party_size_description
at O
a O
top-rated B-sort
restaurant B-restaurant_type
in O
ms B-state
with O
udupi B-cuisine

reserve O
a O
table O
for O
two B-party_size_number
for O
jun B-timeRange
13th I-timeRange
in O
a O
neighboring B-spatial_relation
bistro B-restaurant_type
which O
serves O
mongolian B-cuisine
food O
in O
northway B-city

get O
me O
a O
reservation O
at O
a O
brasserie B-restaurant_type
that O
serves O
jain B-cuisine
in O
pinto B-city

book O
a O
food B-restaurant_type
truck I-restaurant_type
for O
greek B-cuisine
food O
for O
7 B-party_size_number

book O
reservations O
at O
a O
north B-cuisine
indian I-cuisine
bar B-restaurant_type
for O
4 B-party_size_number
people O

i O
want O
to O
book O
a O
cafeteria B-restaurant_type
in O
el B-city
reno I-city
that O
serves O
javanese B-cuisine

book O
trentino B-cuisine
serving O
bar B-restaurant_type
for O
4 B-party_size_number

i O
need O
a O
bar B-restaurant_type
for O
four B-party_size_number
that O
serves O
argentinian B-cuisine
in O
d B-city
iberville I-city
wy B-state
for O
twelve B-timeRange
pm I-timeRange

i O
need O
to O
book O
a O
popular B-sort
pastelaria B-cuisine
restaurant B-restaurant_type
in O
svalbard B-country
and I-country
jan I-country
mayen I-country
for O
a O
party O
of O
eight B-party_size_number

i O
need O
seating O
for O
ten B-party_size_number
people O
at O
a O
bar B-restaurant_type
that O
serves O
czech B-cuisine
cuisine O

i O
d O
like O
to O
eat O
at O
the O
best B-sort
southeastern B-cuisine
brazilian I-cuisine
restaurant B-restaurant_type
with O
five B-party_size_number
people O

book O
a O
eastern B-cuisine
european I-cuisine
cuisine O
restaurant B-restaurant_type
in O
midday B-timeRange
for O
four B-party_size_number
in O
meers B-city
mp B-state

on O
april B-timeRange
the I-timeRange
twenty-seventh I-timeRange
2022 I-timeRange
i O
d O
like O
to O
make O
reservations O
at O
a O
spanish B-cuisine
diner B-restaurant_type

i O
need O
reservations O
for O
a O
party O
of O
8 B-party_size_number
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
at O
01:48:35 B-timeRange
at O
a O
restaurant B-restaurant_type
in O
armenia B-country
that O
serves O
tuscan B-cuisine
cuisine O

book O
a O
spot O
for O
ten B-party_size_number
tomorrow B-timeRange
at O
a O
popular B-sort
vegan B-cuisine
restaurant B-restaurant_type
that O
is O
close B-spatial_relation
to O
alabama B-state

i O
need O
a O
reservation O
for O
five B-party_size_number
at O
a O
top-rated B-sort
english B-cuisine
restaurant B-restaurant_type
in O
elma B-city

book O
any O
popular B-sort
puglia B-cuisine
serving O
oyster B-restaurant_type
bar I-restaurant_type
for O
10 B-party_size_number
in O
jemez B-city
springs I-city

book O
an O
indonesian B-cuisine
brasserie B-restaurant_type
for O
seven B-party_size_number
people O
the B-timeRange
day I-timeRange
after I-timeRange
tomorrow I-timeRange
in O
hawaii B-state

book O
a O
tea B-restaurant_type
house I-restaurant_type
for O
6 B-party_size_number
members O
with O
soul B-cuisine
food I-cuisine

book O
me O
a O
popular B-sort
restaurant B-restaurant_type
reservation O
at O
a O
brazilian B-cuisine
delicatessen B-restaurant_type

i O
need O
to O
book O
an O
indoor B-facility
pub B-restaurant_type
in O
strabane B-city

book O
a O
table O
for O
10 B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
which O
offers O
internet B-facility

find O
a O
table O
at O
a O
pizzeria B-restaurant_type
in O
new B-state
hampshire I-state
that O
has O
parking B-facility

i O
want O
to O
book O
seats O
for O
2 B-party_size_number
at O
churrascaria B-restaurant_type
using O
the O
internet B-facility

make O
me O
a O
reservation O
somewhere O
outdoor B-facility
in O
port B-city
wentworth I-city
for O
a O
party O
of O
five B-party_size_number
at O
a O
coffeehouse B-restaurant_type
in B-timeRange
ten I-timeRange
months I-timeRange
that O
is O
distant B-spatial_relation

book O
me O
a O
reservation O
for O
an O
outdoor B-facility
restaurant B-restaurant_type

book O
a O
steakhouse B-restaurant_type
with O
a O
spa B-facility
for O
seven B-party_size_number
people O

book O
a O
restaurant B-restaurant_type
with O
internet B-facility
in O
ny B-state
for O
four B-party_size_number
people O

book O
a O
table O
for O
three B-party_size_number
at O
0 B-timeRange
am I-timeRange
at O
a O
bar B-restaurant_type
with O
wifi B-facility
in O
schuyler B-city
lake I-city

book O
a O
spot O
at O
a O
steakhouse B-restaurant_type
with O
internet B-facility

book O
a O
table O
at O
a O
pool B-facility
bar B-restaurant_type

book O
me O
a O
table O
for O
nine B-party_size_number
at O
a O
bar B-restaurant_type
with O
parking B-facility
in O
qatar B-country

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
for O
three B-party_size_number
people O

book O
a O
neighboring B-spatial_relation
coffeehouse B-restaurant_type
with O
internet B-facility
in O
shingleton B-city

i O
need O
to O
book O
a O
pool B-facility
side O
bar B-restaurant_type
for O
5 B-party_size_number
people O
17 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
distant B-spatial_relation
from O
here O
at O
mountain B-city
lakes I-city

book O
a O
spot O
at O
a O
taverna B-restaurant_type
with O
internet B-facility
in O
mississippi B-state

book O
sot O
for O
one B-party_size_number
at O
restaurant B-restaurant_type
with O
wifi B-facility

i O
d O
like O
to O
eat O
at O
the O
oyster B-restaurant_type
bar I-restaurant_type
for O
a O
party O
of O
one B-party_size_number
that O
has O
internet B-facility

i O
want O
to O
go O
to O
an O
outdoor B-facility
cafe B-restaurant_type
in O
pioneer B-timeRange
day I-timeRange

i O
want O
to O
book O
reservations O
for O
8 B-party_size_number
at O
an O
indoor B-facility
restaurant B-restaurant_type

book O
a O
bakery B-restaurant_type
with O
smoking B-facility
room I-facility
for O
nine B-party_size_number
in O
niger B-country

book O
a O
table O
over O
the O
internet B-facility
for O
six B-party_size_number
at O
a O
food B-restaurant_type
truck I-restaurant_type
in O
vanuatu B-country
for O
two B-timeRange
pm I-timeRange

book O
a O
restaurant B-restaurant_type
with O
a O
spa B-facility
in O
connecticut B-state

i O
want O
to O
check O
out O
a O
pub B-restaurant_type
that O
has O
internet B-facility
in O
homer B-city
city I-city

book O
a O
spot O
for O
1 B-party_size_number
at O
a O
pub B-restaurant_type
with O
internet B-facility

i O
need O
a O
table O
for O
six B-party_size_number
near B-spatial_relation
the O
russia B-country
bistro B-restaurant_type
that O
has O
wifi B-facility

book O
a O
brasserie B-restaurant_type
with O
internet B-facility
fascility O
for O
5 B-party_size_number
in B-timeRange
a I-timeRange
year I-timeRange
in O
oklahoma B-state

book O
a O
table O
at O
a O
churrascaria B-restaurant_type
for O
august B-timeRange
5 I-timeRange
that O
has O
parking B-facility

i O
want O
to O
eat O
at O
a O
brasserie B-restaurant_type
that O
has O
internet B-facility
near B-spatial_relation
greenland B-city
at O
elevenses B-timeRange

i O
d O
like O
to O
visit O
a O
pizzeria B-restaurant_type
with O
a O
pool B-facility
at O
fourteen B-timeRange
o I-timeRange
clock I-timeRange

book O
a O
reservation O
for O
a O
pub B-restaurant_type
with O
internet B-facility
for O
2 B-party_size_number
people O

at O
4 B-timeRange
am I-timeRange
book O
a O
bar B-restaurant_type
in O
the O
spa B-facility
in O
shamrock B-city
for O
eight B-party_size_number

get O
me O
reservations O
for O
an O
indoor B-facility
honduras B-country
restaurant B-restaurant_type

book O
a O
bar B-restaurant_type
with O
a O
pool B-facility
in O
mountain B-city
iron I-city

please O
book O
a O
joint B-restaurant_type
type O
restaurant B-restaurant_type
room O
with O
spa B-facility
facility O
to O
accommodate O
8 B-party_size_number
members O

i O
m O
looking O
for O
a O
local O
cafeteria B-restaurant_type
that O
has O
wifi B-facility
accesss O
for O
a O
party O
of O
4 B-party_size_number

i O
need O
a O
pub B-restaurant_type
with O
a O
smoking B-facility
room I-facility
in O
ucolo B-city
reserved O

find O
an O
outdoor B-facility
facility O
for O
midday B-timeRange
in O
datil B-city
at O
a O
pub B-restaurant_type
for O
six B-party_size_number

i O
want O
to O
take O
me B-party_size_description
and I-party_size_description
my I-party_size_description
crew I-party_size_description
to O
the O
smoking B-facility
room I-facility
restaurant B-restaurant_type

i O
want O
to O
book O
at O
a O
pub B-restaurant_type
with O
parking B-facility
in O
cuba B-country

book O
me O
an O
indoor B-facility
pub B-restaurant_type
in O
jersey B-country

i O
d O
like O
to O
eat O
at O
a O
restaurant B-restaurant_type
with O
wifi B-facility

book O
a O
restaurant B-restaurant_type
table O
at O
the O
food B-restaurant_type
court I-restaurant_type
in O
the O
spa B-facility
sixteen B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

book O
a O
reservation O
for O
nine B-party_size_number
at O
an O
outdoor B-facility
restaurant B-restaurant_type

i O
want O
to O
book O
an O
indoor B-facility
brasserie B-restaurant_type
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
in O
me B-state

lets O
go O
eat O
this B-timeRange
fall I-timeRange
at O
any O
restaurant B-restaurant_type
that O
has O
parking B-facility
in O
finland B-country

book O
a O
restaurant B-restaurant_type
with O
a O
pool B-facility
with O
alta B-party_size_description
deborah I-party_size_description
and I-party_size_description
bertha I-party_size_description
in O
ia B-state

i O
need O
a O
reservation O
for O
the O
smoking B-facility
room I-facility
at O
a O
fast B-restaurant_type
food I-restaurant_type
place O
for O
8 B-party_size_number
people O

book O
now B-timeRange
at O
a O
bakery B-restaurant_type
at O
a O
spa B-facility

book O
a O
reservation O
for O
2 B-party_size_number
at O
a O
food B-restaurant_type
truck I-restaurant_type
with O
pool B-facility
in O
new B-state
york I-state

book O
a O
steakhouse B-restaurant_type
with O
a O
pool B-facility
for O
eight B-party_size_number
people O

i O
need O
a O
restaurant B-restaurant_type
that O
can O
seat O
3 B-party_size_number
in O
cochran B-city
that O
has O
wifi B-facility

book O
a O
restaurant B-restaurant_type
on O
martin B-timeRange
luther I-timeRange
king I-timeRange
jr I-timeRange
day I-timeRange
with O
parking B-facility

book O
a O
table O
for O
june B-timeRange
the I-timeRange
thirteenth I-timeRange
2033 I-timeRange
in O
saint B-country
barthélemy I-country
for O
6 B-party_size_number
at O
an O
indoor B-facility
tea B-restaurant_type
house I-restaurant_type

renee B-party_size_description
sanders I-party_size_description
marlene I-party_size_description
and I-party_size_description
jewel I-party_size_description
want O
to O
go O
to O
a O
gastropub B-restaurant_type
in O
the O
spa B-facility

book O
a O
table O
at O
one B-timeRange
o I-timeRange
clock I-timeRange
at O
a O
bar B-restaurant_type
that O
has O
parking B-facility

book O
a O
restaurant B-restaurant_type
for O
2 B-party_size_number
that O
has O
internet B-facility

i O
d O
like O
seats O
for O
one B-party_size_number
at O
a O
restaurant B-restaurant_type
in B-timeRange
1 I-timeRange
hour I-timeRange
at O
a O
place O
in O
la B-city
madera I-city
that O
has O
parking B-facility

book O
a O
reservation O
for O
five B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
with O
pool B-facility
in O
benkelman B-city
mi B-state
in O
apr B-timeRange

book O
a O
table O
for O
seven B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
which O
has O
internet B-facility

i O
d O
like O
to O
eat O
at O
an O
outdoor B-facility
restaurant B-restaurant_type

book O
an O
outdoor B-facility
restaurant B-restaurant_type

book O
a O
table O
for O
me B-party_size_description
naomi I-party_size_description
and I-party_size_description
elisabeth I-party_size_description
at O
a O
brasserie B-restaurant_type
with O
wifi B-facility

get O
me O
a O
table O
at O
a O
bar B-restaurant_type
which O
has O
a O
spa B-facility

i O
want O
to O
book O
a O
restaurant B-restaurant_type
with O
a O
pool B-facility
for O
five B-party_size_number
in O
conehatta B-city

reserve O
a O
smoking B-facility
room I-facility
at O
the O
restaurant B-restaurant_type

find O
me O
a O
coffeehouse B-restaurant_type
for O
nine B-party_size_number
in O
indiana B-state
that O
has O
access O
to O
a O
pool B-facility

i O
want O
seating O
for O
five B-party_size_number
near B-spatial_relation
the O
pool B-facility
at O
the O
pub B-restaurant_type

book O
a O
spot O
at O
a O
coffeehouse B-restaurant_type
in O
new B-state
york I-state
with O
wifi B-facility
at O
8 B-timeRange
pm I-timeRange

i O
need O
to O
book O
a O
restaurant B-restaurant_type
with O
a O
smoking B-facility
room I-facility
in O
al B-state

i O
want O
to O
find O
parking B-facility
next O
to O
a O
restaurant B-restaurant_type
for O
10 B-party_size_number

make O
me O
a O
reservation O
at O
taverna B-restaurant_type
in O
a O
smoking B-facility
room I-facility

book O
a O
spot O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
great I-party_size_description
grandfather I-party_size_description
at O
a O
brasserie B-restaurant_type
with O
a O
pool B-facility
at O
7 B-timeRange
am I-timeRange

restaurant B-restaurant_type
that O
is O
brasserie B-restaurant_type
for O
8 B-party_size_number
and O
has O
wifi B-facility

book O
a O
reservation O
for O
a O
restaurant B-restaurant_type
in O
wadsworth B-city
with O
parking B-facility

book O
an O
outdoor B-facility
restaurant B-restaurant_type
in O
md B-state
at O
11 B-timeRange
pm I-timeRange
for O
8 B-party_size_number

i O
need O
fast B-restaurant_type
food I-restaurant_type
for O
nine B-party_size_number
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
bowers B-city
that O
has O
a O
pool B-facility
nearby B-spatial_relation
on O
4/17/2033 B-timeRange

book O
a O
pub B-restaurant_type
with O
a O
pool B-facility
in O
white B-city
heath I-city
south B-state
carolina I-state

book O
a O
table O
at O
an O
indoor B-facility
restaurant B-restaurant_type
now B-timeRange

i O
need O
to O
book O
a O
pub B-restaurant_type
for O
8 B-party_size_number
that O
has O
wifi B-facility

i O
want O
to O
take O
nine B-party_size_number
people O
to O
a O
diner B-restaurant_type
close B-spatial_relation
to O
the O
spa B-facility

book O
a O
bar B-restaurant_type
close B-spatial_relation
by I-spatial_relation
with O
a O
smoking B-facility
room I-facility
in O
ma B-state

book O
a O
neighboring B-spatial_relation
food B-restaurant_type
truck I-restaurant_type
with O
a O
spa B-facility
in O
dallesport B-city
for O
4 B-party_size_number
people O

i O
want O
to O
go O
to O
the O
pub B-restaurant_type
with O
angelita B-party_size_description
susan I-party_size_description
reed I-party_size_description
and I-party_size_description
ashlee I-party_size_description
watson I-party_size_description
after O
us O
parking B-facility

i O
want O
to O
make O
a O
reservation O
for O
a O
group O
of O
4 B-party_size_number
at O
a O
churrascaria B-restaurant_type
type O
spa B-facility

book O
a O
brasserie B-restaurant_type
with O
parking B-facility
for O
1 B-party_size_number

please O
book O
seating O
for O
one B-party_size_number
person O
at O
an O
indoor B-facility
restaurant B-restaurant_type
that O
serves O
breakfast B-timeRange
in O
nicholasville B-city
tennessee B-state

let O
me O
get O
reservations O
for O
a O
party O
of O
three B-party_size_number
at O
a O
bar B-restaurant_type
with O
a O
pool B-facility

find O
me O
a O
table O
for O
1 B-party_size_number
at O
a O
restaurant B-restaurant_type
with O
a O
pool B-facility
at O
3 B-timeRange
am I-timeRange
in O
hitchcock B-city
fl B-state

i O
want O
an O
indoor B-facility
restaurant B-restaurant_type
for O
a O
party O
of O
five B-party_size_number
in O
columbus B-city
junction I-city

i O
would O
like O
an O
outdoor B-facility
cafeteria B-restaurant_type
for O
3 B-party_size_number

i O
d O
like O
to O
eat O
at O
an O
oyster B-restaurant_type
bar I-restaurant_type
with O
a O
pool B-facility

i O
need O
a O
fast B-restaurant_type
food I-restaurant_type
restaurant I-restaurant_type
that O
will O
seat O
two B-party_size_number
in O
a O
smoking B-facility
room I-facility

book O
a O
spot O
at O
an O
indoor B-facility
gastropub B-restaurant_type
in O
ny B-state

i O
want O
to O
book O
a O
restaurant B-restaurant_type
for O
nine B-party_size_number
with O
wifi B-facility

book O
a O
table O
for O
me B-party_size_description
and I-party_size_description
georgina I-party_size_description
at O
a O
pub B-restaurant_type
in O
a O
spa B-facility

book O
an O
outdoor B-facility
restaurant B-restaurant_type

pizzeria B-restaurant_type
restaurant I-restaurant_type
in O
kellnersville B-city
hi B-state
that O
is O
outdoor B-facility
for O
ten B-party_size_number

i O
have O
a O
party O
of O
10 B-party_size_number
that O
would O
like O
to O
eat O
outdoor B-facility
at O
a O
tavern B-restaurant_type

book O
a O
table O
with O
wifi B-facility
in O
delaware B-state
at O
a O
restaurant B-restaurant_type
in B-timeRange
one I-timeRange
minute I-timeRange

