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

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

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

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

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

play O
techno B-genre
on O
lastfm B-service

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

play O
iheart B-service

add O
step B-entity_name
to I-entity_name
me I-entity_name
to O
the O
50 B-playlist
clásicos I-playlist
playlist O

add O
to O
playlist O
confidence B-playlist
boost I-playlist
here B-entity_name
comes I-entity_name
santa I-entity_name
claus I-entity_name

add O
sugarolly B-entity_name
days I-entity_name
to O
my B-playlist_owner
list O
your B-playlist
favorite I-playlist
slaughterhouse I-playlist

add O
manuelita B-entity_name
to O
my B-playlist_owner
indiespensables B-playlist
playlist O

add O
rak B-entity_name
biszewilo I-entity_name
to O
my B-playlist_owner
playlist O
named O
jazz B-playlist

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

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
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
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
to O
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

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

rate O
in O
stars B-rating_unit
as O
a O
6 B-best_rating
for O
lord B-object_name
of I-object_name
the I-object_name
shadows I-object_name
which O
gets O
a O
four B-rating_value

rate O
my O
current B-object_select
book B-object_type
1 B-rating_value
out O
of O
6 B-best_rating

for O
the O
textbook B-object_type
out O
of O
6 B-best_rating
possible O
i O
give O
the O
following B-object_select
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

i O
give O
christianity B-object_name
not I-object_name
mysterious I-object_name
1 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

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

i O
rated O
the B-object_name
island I-object_name
of I-object_name
adventure I-object_name
saga B-object_part_of_series_type
a O
2 B-rating_value
of O
6 B-best_rating

rate O
the B-object_name
princess I-object_name
mouse: I-object_name
a I-object_name
tale I-object_name
of I-object_name
finland I-object_name
one B-rating_value
of O
6 B-best_rating

play O
the O
song B-music_item
little B-track
robin I-track
redbreast I-track

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

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

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

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

play O
the O
song B-music_item
jingle B-track
bells I-track

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

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

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

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

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

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

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

play O
music O
from O
2014 B-year

play O
2011 B-year
music O

play O
top-twenty B-sort
song B-music_item
from O
2015 B-year

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

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

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

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

let O
me O
see O
the O
movie O
schedule B-object_type
for O
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
be O
showing O
at O
a O
local O
cinema B-object_location_type

is O
happy B-movie_name
ghost I-movie_name
iii I-movie_name
at O
caribbean B-location_name
cinemas I-location_name

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
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
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

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

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

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

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
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

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

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
current B-object_select
saga B-object_part_of_series_type
deserves O
a O
5 B-rating_value
rating O

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

find O
the O
movie B-object_type
schedule I-object_type
for O
animated B-movie_type
movies I-movie_type
around B-spatial_relation
here I-spatial_relation

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

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

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

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

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

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

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
is O
the O
weather O
in O
sehlabathebe-nationalpark B-geographic_poi

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

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

book O
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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
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for O
9 B-party_size_number
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a O
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with O
parking B-facility

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

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
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in O
arkansas B-state

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
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in O
burundi 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

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

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
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

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

find O
the O
schedule B-object_type
for O
rare B-movie_name
birds I-movie_name
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
at O
noon B-timeRange

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

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

search O
for O
the B-object_name
adventures I-object_name
of I-object_name
cookie I-object_name
& I-object_name
cream I-object_name

i O
d O
like O
to O
see O
the O
show B-object_type
onion B-object_name
sportsdome I-object_name

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

find O
a O
novel B-object_type
called O
industry B-object_name

please O
find O
the O
movie B-object_type
dancing B-object_name
girl I-object_name

give O
the B-object_name
search I-object_name
for I-object_name
the I-object_name
snow I-object_name
leopard I-object_name
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rating O
of O
zero B-rating_value
of O
6 B-best_rating
stars B-rating_unit

for O
the O
book B-object_type
tale B-object_name
of I-object_name
the I-object_name
toa I-object_name
i O
give O
five B-rating_value
points B-rating_unit

i O
want O
to O
give O
the B-object_name
canon I-object_name
of I-object_name
medicine I-object_name
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
5 B-rating_value
points B-rating_unit
to O
the B-object_name
deathlord I-object_name
of I-object_name
ixia I-object_name

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

show O
me O
the O
movie B-object_type
schedule I-object_type
for O
star B-location_name
theatres I-location_name

which O
films B-movie_type
are O
playing O
at O
malco B-location_name
theatres I-location_name

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
movies B-movie_type
are O
scheduled O
at O
plitt B-location_name
theatres I-location_name

find O
movie B-object_type
schedules I-object_type
at O
imax B-location_name
corporation I-location_name

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

what O
s O
the O
weather O
forecast O
not B-spatial_relation
far I-spatial_relation
from O
here B-current_location

will O
it O
rain B-condition_description
here B-current_location
at O
13:22:09 B-timeRange

what O
is O
the O
forecast O
for O
the O
current B-current_location
spot I-current_location
for O
cloudy B-condition_description
conditions O

tell O
me O
the O
weather O
forecast O
for O
here B-current_location

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

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

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

book O
a O
restaurant B-restaurant_type
that O
serves O
bouchée B-served_dish
for O
midnight B-timeRange

what O
is O
the O
weather O
in O
sint B-country
maarten I-country

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

ethiopia B-country
ellenton B-city
has O
snow B-condition_description
weather O
at O
eight B-timeRange
pm I-timeRange

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

what O
s O
the O
forecast O
for O
alley B-city
canada B-country

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
temperate B-condition_temperature
weather O
in O
bellechester B-city

is O
it O
hot B-condition_temperature
in O
gold B-city
beach I-city
bahrain B-country

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

is O
it O
going O
to O
be O
cold B-condition_temperature
today B-timeRange
in O
wing B-city

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

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

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

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

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

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

will O
it O
be O
stormy B-condition_description
in O
ritchey B-city
in O
palau B-country

will O
there O
be O
rain B-condition_description
next B-timeRange
year I-timeRange
in O
new B-state
hampshire I-state

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
hail B-condition_description
in O
rosenberg B-city
in O
the O
french B-country
polynesia I-country

i O
want O
to O
listen O
to O
swing B-genre
music O
on O
iheart B-service

play O
lastfm B-service
pop B-genre
tunes O

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

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
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

can O
i O
get O
a O
table O
at O
the B-restaurant_name
fort I-restaurant_name

book O
the O
atomic B-restaurant_name
cafe I-restaurant_name
for O
ten B-party_size_number
people O

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

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
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

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

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

i O
want O
to O
reserve O
a O
gastropub B-restaurant_type
that O
has O
a O
spa B-facility

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
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
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

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

