Relation: P19_place_of_birth
Prompts:
- 1.0000 <ENT0> was born in <ENT1> .
Harvested Tuples:
+-----------------------------------------+---------------------------------------+-------------------------------------------+
|               Seed samples              |             Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+-----------------------------------------+---------------------------------------+-------------------------------------------+
|        ['Cynan Garwyn', 'Wales']        |          ['al ali', 'Kuwait']         |            ['hill', 'Glasgow']            |
|       ['Phil Upchurch', 'Chicago']      |        ['al hassan', 'Kuwait']        |            ['smith', 'London']            |
| ['Chiara Margarita Cozzolani', 'Milan'] |         ['le lang', 'Saigon']         |   ['von württemberg', 'Leipzig Castle']   |
|      ['Lennie Tristano', 'Chicago']     |      ['di vincenzo', 'Florence']      |          ['hansen', 'Copenhagen']         |
|      ['Hajime Mizoguchi', 'Tokyo']      |       ['la vista', 'Argentina']       |           ['wong', 'Singapore']           |
|                    \                    |      ['van beethoven', 'Leiden']      |        ['michael cohen', 'Israel']        |
|                    \                    |         ['van der', 'Leiden']         |            ['brown', 'Glasgow']           |
|                    \                    |         ['al islam', 'Beirut']        |          ['dr boris', 'Vilnius']          |
|                    \                    |        ['al hassan', 'Beirut']        |          ['jensen', 'Copenhagen']         |
|                    \                    |    ['von frankenstein', 'Dresden']    |         ['michael cohen', 'Haifa']        |
|                    \                    |         ['al hassan', 'Iraq']         |             ['lee', 'Sydney']             |
|                    \                    |      ['del monte', 'Montevideo']      |            ['klein', 'Berlin']            |
|                    \                    |      ['von rosenberg', 'Dresden']     |            ['klein', 'Vienna']            |
|                    \                    |        ['di giovanni', 'Turin']       |           ['rodríguez', 'Spain']          |
|                    \                    |       ['de palma', 'Montevideo']      |    ['marius magnus', 'Verona Augusta']    |
|                    \                    |   ['george cunningham', 'Yorkshire']  |        ['michael evans', 'Israel']        |
|                    \                    | ['von württemberg', 'Leipzig Castle'] |              ['kim', 'Japan']             |
|                    \                    |      ['lord dudley', 'Yorkshire']     |            ['hill', 'Chicago']            |
|                    \                    |     ['lord stanley', 'Yorkshire']     |     ['julius pius', 'Verona Augusta']     |
|                    \                    |       ['de oliveira', 'Lisbon']       |       ['george simpson', 'Iceland']       |
+-----------------------------------------+---------------------------------------+-------------------------------------------+
==================================================
Relation: P20_place_of_death
Prompts:
- 1.0000 <ENT0> died in <ENT1> .
Harvested Tuples:
+--------------------------------------+--------------------------------------+-------------------------------------------+
|             Seed samples             |            Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+--------------------------------------+--------------------------------------+-------------------------------------------+
| ['Henry Michell Wagner', 'Brighton'] |    ['von württemberg', 'Weimar']     |             ['singh', 'Delhi']            |
|    ['Georg Scheffers', 'Berlin']     |       ['von rosen', 'Dresden']       |        ['count casimir', 'Zagreb']        |
|        ['Max Ernst', 'Paris']        |      ['del puerto', 'Santiago']      |         ['alexander', 'Stockholm']        |
|       ['Timoleon', 'Syracuse']       |        ['de jong', 'Leiden']         |            ['james', 'France']            |
| ['Giorgio Levi Della Vida', 'Rome']  |        ['van rees', 'Leiden']        |            ['young', 'prison']            |
|                  \                   |    ['joseph neumann', 'Leipzig']     |          ['ben david', 'Baghdad']         |
|                  \                   |      ['lord stanley', 'error']       |       ['prince casimir', 'Belgrade']      |
|                  \                   |         ['du cha', 'Taipei']         |            ['bauer', 'Munich']            |
|                  \                   |     ['prince christoph', 'Kiev']     |        ['light', 'every direction']       |
|                  \                   | ['bishop mathias', 'Constantinople'] |            ['park', 'Beijing']            |
|                  \                   |        ['van berg', 'Leiden']        |           ['ben david', 'Cairo']          |
|                  \                   |    ['count emmanuel', 'Valencia']    |         ['alexander', 'Amsterdam']        |
|                  \                   |    ['saint george', 'Canterbury']    |            ['wagner', 'Munich']           |
|                  \                   |     ['lord salisbury', 'error']      |            ['wagner', 'Berlin']           |
|                  \                   |        ['de jong', 'Jakarta']        |            ['love', 'war zone']           |
|                  \                   |      ['van berg', 'Rotterdam']       |            ['lang', 'Chicago']            |
|                  \                   |        ['hope', 'every word']        |            ['smith', 'London']            |
|                  \                   |       ['de castro', 'Seville']       |            ['martin', 'Paris']            |
|                  \                   |    ['joseph schmidt', 'Leipzig']     |          ['robinson', 'Montreal']         |
|                  \                   |        ['de castro', 'Spain']        |       ['saint nicholas', 'Valencia']      |
+--------------------------------------+--------------------------------------+-------------------------------------------+
==================================================
Relation: P279_subclass_of
Prompts:
- 1.0000 <ENT0> is a subclass of <ENT1> .
Harvested Tuples:
+-------------------------------------------------------+-----------------------------------------------+-------------------------------------------+
|                      Seed samples                     |                 Ours (Top 20)                 | Ours (Random samples over top 200 tuples) |
+-------------------------------------------------------+-----------------------------------------------+-------------------------------------------+
|          ['illiberal democracy', 'democracy']         |        ['time shifting', 'time travel']       |          ['true wood', 'timber']          |
|                 ['city farm', 'farm']                 |        ['complex numbers', 'integers']        |     ['architecture', 'design studies']    |
| ['United States Marine Corps Scout Sniper', 'sniper'] |          ['group theory', 'topology']         |             ['iron', 'metals']            |
|                    ['guk', 'soup']                    |     ['chemical industry', 'manufacturing']    |             ['space', 'time']             |
|                 ['salmorejo', 'soup']                 | ['cycle scheduling', 'scheduling algorithms'] |     ['trace processing', 'algorithms']    |
|                           \                           |  ['cycle scheduling', 'scheduling problems']  |             ['mare', 'stars']             |
|                           \                           |      ['chemical industry', 'industries']      |            ['hai', 'Buddhism']            |
|                           \                           |       ['complex systems', 'complexity']       |             ['java', 'Python']            |
|                           \                           |          ['group theory', 'geometry']         |        ['hybrid theory', 'realism']       |
|                           \                           |          ['group theory', 'analysis']         |            ['beta', 'algebra']            |
|                           \                           |           ['gene transfer', 'genes']          |             ['delta', 'logic']            |
|                           \                           |      ['search syntax', 'search engines']      |               ['acc', 'Ada']              |
|                           \                           |       ['chemical engineer', 'engineers']      |           ['life', 'evolution']           |
|                           \                           |          ['gene transfer', 'cancer']          |   ['chemical industry', 'manufacturing']  |
|                           \                           |           ['series viii', 'Saturn']           |             ['juno', 'humans']            |
|                           \                           |  ['model transformation', 'modeling methods'] |            ['water', 'matter']            |
|                           \                           |     ['multiple variables', 'inheritance']     |            ['gamma', 'Pascal']            |
|                           \                           |     ['multiple variables', 'expressions']     |        ['chemistry', 'mathematics']       |
|                           \                           |   ['central dominance', 'dominance models']   |    ['chemical industry', 'industries']    |
|                           \                           |         ['modern medicine', 'surgery']        |       ['classification', 'biology']       |
+-------------------------------------------------------+-----------------------------------------------+-------------------------------------------+
==================================================
Relation: P37_official_language
Prompts:
- 1.0000 The official language of <ENT0> is <ENT1> .
Harvested Tuples:
+----------------------------------------------------+---------------------------+-------------------------------------------+
|                    Seed samples                    |       Ours (Top 20)       | Ours (Random samples over top 200 tuples) |
+----------------------------------------------------+---------------------------+-------------------------------------------+
|              ['Macau', 'Portuguese']               |   ['Belize', 'English']   |            ['Vietnam', 'Thai']            |
| ['North American Free Trade Agreement', 'Spanish'] |   ['Kosovo', 'Albanian']  |           ['Yunnan', 'Mandarin']          |
|               ['Kuusamo', 'Finnish']               |   ['Moldova', 'Russian']  |           ['Jordan', 'Turkish']           |
|            ['East Timor', 'Portuguese']            | ['Tajikistan', 'Russian'] |         ['Shanghai', 'Cantonese']         |
|              ['Janakkala', 'Finnish']              | ['Bangladesh', 'Bengali'] |         ['Minnesota', 'Icelandic']        |
|                         \                          | ['Tajikistan', 'Persian'] |       ['Tajikistan', 'Azerbaijani']       |
|                         \                          |    ['Bhutan', 'Nepali']   |          ['Catalonia', 'Catalan']         |
|                         \                          |  ['Slovenia', 'Slovene']  |           ['Botswana', 'Dutch']           |
|                         \                          |  ['Norway', 'Norwegian']  |          ['Beijing', 'Cantonese']         |
|                         \                          |   ['Myanmar', 'Burmese']  |         ['Afghanistan', 'Kurdish']        |
|                         \                          | ['Macedonia', 'Albanian'] |         ['Kyrgyzstan', 'Turkish']         |
|                         \                          |    ['Cyprus', 'Greek']    |           ['region', 'Georgian']          |
|                         \                          |   ['Kosovo', 'Serbian']   |         ['Ljubljana', 'Croatian']         |
|                         \                          |   ['Finland', 'Swedish']  |            ['Vietnam', 'Khmer']           |
|                         \                          |   ['Denmark', 'Danish']   |        ['Kyrgyzstan', 'Mongolian']        |
|                         \                          |   ['Belize', 'Spanish']   |           ['Paraguay', 'French']          |
|                         \                          |  ['Cameroon', 'English']  |          ['country', 'Hungarian']         |
|                         \                          |    ['Israel', 'Hebrew']   |          ['Penang', 'Indonesian']         |
|                         \                          |  ['Luxembourg', 'German'] |           ['Kosovo', 'Albanian']          |
|                         \                          |   ['Macedonia', 'Greek']  |           ['Cameroon', 'Arabic']          |
+----------------------------------------------------+---------------------------+-------------------------------------------+
==================================================
Relation: P413_position_played_on_team__speciality
Prompts:
- 1.0000 <ENT0> plays in <ENT1> position .
Harvested Tuples:
+-------------------------------------+-----------------------------------+-------------------------------------------+
|             Seed samples            |           Ours (Top 20)           | Ours (Random samples over top 200 tuples) |
+-------------------------------------+-----------------------------------+-------------------------------------------+
| ['Vincenzo Italiano', 'midfielder'] |    ['red number', 'away goals']   |          ['player', 'midfielder']         |
|    ['John Stofa', 'quarterback']    | ['red cards', 'penalty shootout'] |           ['ladies', 'reserve']           |
|  ['Jason Campbell', 'quarterback']  |  ['red card', 'penalty shootout'] |            ['player', 'right']            |
|  ['Bettina Wiegmann', 'midfielder'] |       ['usually', 'forward']      |      ['red card', 'penalty shootout']     |
|   ['Angelo Crowell', 'linebacker']  |       ['usually', 'center']       |            ['de winter', '9th']           |
|                  \                  |    ['bye', 'playoff clinched']    |             ['best', 'field']             |
|                  \                  |     ['usually', 'midfielder']     |           ['ana', 'goalkeeper']           |
|                  \                  |       ['usually', 'centre']       |         ['best position', 'good']         |
|                  \                  |       ['usually', 'striker']      |           ['gender', 'dominant']          |
|                  \                  |    ['currently', 'midfielder']    |           ['usually', 'forward']          |
|                  \                  |      ['currently', 'forward']     |            ['best team', '2nd']           |
|                  \                  |     ['currently', 'defender']     |      ['players position', 'defense']      |
|                  \                  |     ['male gender', 'female']     |      ['though otherwise', 'defence']      |
|                  \                  |     ['price', 'market price']     |            ['girls', 'reserve']           |
|                  \                  |      ['currently', 'center']      |             ['power', 'field']            |
|                  \                  |  ['players position', 'defense']  |           ['legend', 'unknown']           |
|                  \                  |   ['team president', 'referee']   |        ['man option', 'linebacker']       |
|                  \                  |    ['male gender', 'dominant']    |         ['players', 'goalkeeper']         |
|                  \                  |      ['currently', 'centre']      |            ['champion', '1st']            |
|                  \                  |     ['go choose', 'starting']     |         ['male golfer', 'stroke']         |
+-------------------------------------+-----------------------------------+-------------------------------------------+
==================================================
Relation: P449_original_network
Prompts:
- 1.0000 <ENT0> was originally aired on <ENT1> .
Harvested Tuples:
+-------------------------------------+------------------------------------+-------------------------------------------+
|             Seed samples            |           Ours (Top 20)            | Ours (Random samples over top 200 tuples) |
+-------------------------------------+------------------------------------+-------------------------------------------+
|   ['The Imogene Coca Show', 'NBC']  |    ['best wishes', 'Lifetime']     |             ['series', 'Fox']             |
|   ['The Ed Sullivan Show', 'CBS']   |   ['live streaming', 'Facebook']   |            ['susan', 'Sundays']           |
| ['Arrested Development', 'Netflix'] | ['hurricane warnings', 'weekends'] |           ['movie', 'Lifetime']           |
|    ['Great Performances', 'PBS']    |    ['best moves', 'Challenge']     |            ['india', 'Gemini']            |
|      ['My Friend Tony', 'NBC']      |       ['best bits', 'Dave']        |             ['uhf', 'Youtube']            |
|                  \                  |  ['live programming', 'weekends']  |          ['michigan', 'Saturday']         |
|                  \                  |    ['family news', 'weekdays']     |       ['chronicles', 'Discovery Tv']      |
|                  \                  |    ['family news', 'Saturdays']    |           ['english', 'Sundays']          |
|                  \                  |        ['debut', 'Netflix']        |            ['season', 'Spike']            |
|                  \                  |     ['war reporting', 'radio']     |              ['final', 'tnt']             |
|                  \                  |   ['celebrity news', 'weekends']   |             ['earth', 'Bravo']            |
|                  \                  |    ['family news', 'Saturday']     |              ['show', 'nbc']              |
|                  \                  |   ['power station', 'satellite']   |         ['challenge', 'Survivor']         |
|                  \                  |     ['series', 'Nickelodeon']      |              ['film', 'mtv']              |
|                  \                  |      ['show', 'Nickelodeon']       |          ['breakfast', 'Sundays']         |
|                  \                  |     ['power station', 'cable']     |           ['series', 'Showtime']          |
|                  \                  |   ['another segment', 'Sunrise']   |          ['war theme', 'Sunrise']         |
|                  \                  |        ['season', 'Spike']         |       ['power station', 'weekdays']       |
|                  \                  |   ['power station', 'weekdays']    |              ['port', 'ign']              |
|                  \                  |     ['mystery guest', 'Lost']      |   ['celebrity programming', 'weekends']   |
+-------------------------------------+------------------------------------+-------------------------------------------+
==================================================
Relation: P47_shares_border_with
Prompts:
- 1.0000 <ENT0> shares border with <ENT1> .
Harvested Tuples:
+-----------------------------------+--------------------------------+-------------------------------------------+
|            Seed samples           |         Ours (Top 20)          | Ours (Random samples over top 200 tuples) |
+-----------------------------------+--------------------------------+-------------------------------------------+
|        ['Iowa', 'Illinois']       |    ['bass', 'Lead Vocals']     |           ['denmark', 'Sweden']           |
| ['Baja California', 'California'] |    ['pink', 'yellow color']    |           ['poland', 'Hungary']           |
|         ['Callao', 'Lima']        |     ['ukraine', 'Belarus']     |          ['albania', 'Slovenia']          |
|        ['Oregon', 'Idaho']        |   ['party', 'United Party']    |           ['la paz', 'Valencia']          |
|  ['Saar Protectorate', 'Germany'] |   ['azerbaijan', 'Georgia']    |           ['armenia', 'Romania']          |
|                 \                 |  ['tajikistan', 'Uzbekistan']  |        ['greater rwanda', 'Malawi']       |
|                 \                 |      ['vietnam', 'China']      |            ['colombia', 'Peru']           |
|                 \                 |     ['india', 'Pakistan']      |            ['austria', 'Italy']           |
|                 \                 |      ['kosovo', 'Serbia']      |         ['botswana', 'Mozambique']        |
|                 \                 |    ['vietnam', 'Cambodia']     |      ['middle zone', 'Eastern Zone']      |
|                 \                 |     ['azerbaijan', 'Iran']     |           ['estonia', 'Georgia']          |
|                 \                 | ['west side', 'southern side'] |        ['tajikistan', 'Kazakhstan']       |
|                 \                 |      ['vietnam', 'Laos']       |           ['kyrgyzstan', 'Iran']          |
|                 \                 |  ['kyrgyzstan', 'Uzbekistan']  |           ['gujarat', 'Punjab']           |
|                 \                 |     ['vietnam', 'Myanmar']     |          ['croatia', 'Slovenia']          |
|                 \                 |     ['bass', 'lead vocal']     |           ['punjab', 'Haryana']           |
|                 \                 | ['tajikistan', 'Afghanistan']  |  ['greater transylvania', 'Pennsylvania'] |
|                 \                 |     ['ukraine', 'Moldova']     |            ['vietnam', 'China']           |
|                 \                 |  ['kazakhstan', 'Uzbekistan']  |           ['poland', 'Slovakia']          |
|                 \                 |    ['kosovo', 'Montenegro']    |          ['slovenia', 'Slovakia']         |
+-----------------------------------+--------------------------------+-------------------------------------------+
==================================================
Relation: P138_named_after
Prompts:
- 1.0000 <ENT0> is named after <ENT1> .
Harvested Tuples:
+-----------------------------------------------------+---------------------------------------------------+------------------------------------------------+
|                     Seed samples                    |                   Ours (Top 20)                   |   Ours (Random samples over top 200 tuples)    |
+-----------------------------------------------------+---------------------------------------------------+------------------------------------------------+
| ['Liberal Mid-America Regional Airport', 'Liberal'] |     ['modern uzbekistan', 'Uzbekistan State']     |              ['species', 'Smith']              |
|        ['Reading railway station', 'Reading']       |     ['modern uzbekistan', 'Uzbekistan Proper']    | ['economic stability', 'Economics Statistics'] |
|            ['Centocelle Airport', 'Rome']           |             ['chaos', 'quantum chaos']            |              ['town', 'village']               |
|           ['Norwich Cathedral', 'Trinity']          |           ['free trade', 'Trade Policy']          |              ['village', 'town']               |
|                   ['Mars', 'Mars']                  |             ['jazz', 'classical jazz']            |               ['earth', 'John']                |
|                          \                          |            ['gender', 'female gender']            |     ['power temperature', 'Edison Waves']      |
|                          \                          |              ['gender', 'female sex']             |              ['county', 'Brown']               |
|                          \                          |   ['statistical stability', 'Fisher Statistics']  |               ['heat', 'water']                |
|                          \                          |       ['random weight', 'Random Variables']       |                ['park', 'Hon']                 |
|                          \                          |        ['random weight', 'random numbers']        |         ['constituency', 'Sri Patel']          |
|                          \                          |           ['free trade', 'trade unions']          |             ['university', 'Rao']              |
|                          \                          |        ['random weight', 'Random Variable']       |             ['music', 'Beethoven']             |
|                          \                          |          ['another variant', 'Franklin']          |            ['roche', 'Paris Wine']             |
|                          \                          | ['statistical probability', 'Fisher Probability'] |           ['care', 'disease types']            |
|                          \                          |   ['economic stability', 'Economics Statistics']  |   ['classical psychology', 'Locke Lambert']    |
|                          \                          |            ['another variant', 'Cook']            |        ['code', 'Microsoft Technology']        |
|                          \                          |  ['economic inequality', 'economists worldwide']  |              ['da gum', 'De Wet']              |
|                          \                          |           ['mercury toxicity', 'Myers']           |       ['content', 'Wikipedia Websites']        |
|                          \                          |          ['queensland', 'Queen Victoria']         |                ['genus', 'Ray']                |
|                          \                          |     ['modern uzbekistan', 'Uzbekistan Alone']     |              ['species', 'Baker']              |
+-----------------------------------------------------+---------------------------------------------------+------------------------------------------------+
==================================================
Relation: P364_original_language_of_film_or_TV_show
Prompts:
- 1.0000 The original language of <ENT0> is <ENT1> .
Harvested Tuples:
+----------------------------------+---------------------------------------+-------------------------------------------+
|           Seed samples           |             Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+----------------------------------+---------------------------------------+-------------------------------------------+
| ['Prairie Schooner', 'English']  |    ['Modern Bulgaria', 'Bulgarian']   |           ['Croatia', 'Italian']          |
|  ['The Fatal Eggs', 'Russian']   |    ['Northern Myanmar', 'Burmese']    |          ['Bangladesh', 'Hindi']          |
|       ['Khamosh', 'Hindi']       |     ['Modern Estonian', 'Finnish']    |         ['Afghanistan', 'Kurdish']        |
|     ['Rajnigandha', 'Hindi']     |   ['modern azerbaijan', 'Armenian']   |           ['Bulgaria', 'Turkic']          |
| ['The Crimson Rivers', 'French'] |       ['Bangladesh', 'Bengali']       |          ['Congo', 'Portuguese']          |
|                \                 | ['Tasmania', 'Aboriginal Australian'] |          ['Kerala', 'Malayalam']          |
|                \                 |  ['Western Kazakhstan', 'Mongolian']  |           ['Slovakia', 'Polish']          |
|                \                 |           ['India', 'Hindi']          |            ['Armenia', 'Latin']           |
|                \                 |    ['Northern Madagascar', 'Mari']    |           ['Rwanda', 'Kannada']           |
|                \                 |        ['Kerala', 'Malayalam']        |          ['Thailand', 'Persian']          |
|                \                 |  ['Eastern Kazakhstan', 'Mongolian']  |             ['Taiwan', 'Thai']            |
|                \                 |     ['Eastern Myanmar', 'Burmese']    |          ['Madagascar', 'French']         |
|                \                 |     ['Western Myanmar', 'Burmese']    |       ['modern armenia', 'Romanian']      |
|                \                 |        ['Madagascar', 'French']       |        ['Northern Mexico', 'Maya']        |
|                \                 |          ['Pakistan', 'Urdu']         |            ['Vietnam', 'Thai']            |
|                \                 |      ['Northern Mexico', 'Maya']      |           ['Botswana', 'Dutch']           |
|                \                 |         ['Finland', 'Swedish']        |          ['Okinawa', 'Japanese']          |
|                \                 |         ['India', 'Sanskrit']         |          ['Valencia', 'Catalan']          |
|                \                 |         ['Nepal', 'Sanskrit']         |            ['India', 'Punjabi']           |
|                \                 |           ['Vietnam', 'Lao']          |             ['Vietnam', 'Lao']            |
+----------------------------------+---------------------------------------+-------------------------------------------+
==================================================
Relation: P463_member_of
Prompts:
- 1.0000 <ENT0> is a member of <ENT1> .
Harvested Tuples:
+---------------------------------------------+-------------------------------------+-------------------------------------------+
|                 Seed samples                |            Ours (Top 20)            | Ours (Random samples over top 200 tuples) |
+---------------------------------------------+-------------------------------------+-------------------------------------------+
|          ['Terry Balsamo', 'Cold']          |       ['red pepper', 'tomato']      |      ['today turkey', 'agriculture']      |
|             ['Germany', 'NATO']             |       ['de haas', 'Democrats']      |        ['zhang', 'Chinese People']        |
|   ['Canadian Soccer Association', 'FIFA']   |        ['big bang', 'Earth']        |          ['little', 'every race']         |
|     ['The Football Association', 'FIFA']    |        ['big bang', 'group']        |             ['shah', 'Islam']             |
| ['Football Association of Finland', 'FIFA'] | ['christian music', 'Christianity'] |            ['kennedy', 'Govt']            |
|                      \                      |     ['today romania', 'Europe']     |              ['music', 'Art']             |
|                      \                      |     ['prince royal', 'nobility']    |      ['hatch', 'Evolutionary Theory']     |
|                      \                      |      ['von müller', 'Bavaria']      |             ['burke', 'Labor']            |
|                      \                      |      ['von neumann', 'Bavaria']     |        ['law', 'every profession']        |
|                      \                      |         ['le blanc', 'par']         |        ['price', 'Trade Standards']       |
|                      \                      |       ['black trout', 'fish']       |         ['price', 'trade unions']         |
|                      \                      |     ['von humboldt', 'Bavaria']     |              ['pope', 'Yale']             |
|                      \                      |     ['garcía', 'Liga Nacional']     |            ['khan', 'Taliban']            |
|                      \                      |       ['singh', 'parliament']       |         ['law', 'every religion']         |
|                      \                      |     ['power', 'political power']    |             ['del val', 'Cap']            |
|                      \                      |    ['guerrero', 'Liga Nacional']    |          ['jack pine', 'forests']         |
|                      \                      |          ['singh', 'Govt']          |           ['middleton', 'Yale']           |
|                      \                      |          ['le sang', 'rap']         |        ['booth', 'Public Service']        |
|                      \                      |      ['von walden', 'Bavaria']      |            ['guy', 'Gang War']            |
|                      \                      |         ['jack pine', 'Oak']        |          ['red snake', 'snakes']          |
+---------------------------------------------+-------------------------------------+-------------------------------------------+
==================================================
Relation: P101_field_of_work
Prompts:
- 1.0000 <ENT0> works in the field of <ENT1> .
Harvested Tuples:
+--------------------------------------+------------------------------------+-------------------------------------------+
|             Seed samples             |           Ours (Top 20)            | Ours (Random samples over top 200 tuples) |
+--------------------------------------+------------------------------------+-------------------------------------------+
|    ['Henri Brocard', 'geometry']     |    ['another woman', 'nursing']    |        ['young team', 'athletics']        |
|     ['Robert Bigelow', 'hotel']      |   ['another doctor', 'pharmacy']   |          ['maria', 'photography']         |
|  ['Galileo Galilei', 'mathematics']  | ['another scientist', 'chemistry'] |           ['church', 'religion']          |
| ['Nicolaus Copernicus', 'astronomy'] |  ['another lawyer', 'litigation']  |          ['power', 'electricity']         |
|    ['Ewald Hering', 'physiology']    |    ['currently', 'journalism']     |      ['michael normally', 'business']     |
|                  \                   |    ['currently', 'psychology']     |             ['mia', 'fashion']            |
|                  \                   |   ['currently', 'architecture']    |          ['france', 'technology']         |
|                  \                   |     ['currently', 'education']     |         ['usually', 'psychology']         |
|                  \                   |  ['another lawyer', 'insurance']   |         ['ibrahim', 'literature']         |
|                  \                   |     ['currently', 'economics']     |         ['current', 'literature']         |
|                  \                   |    ['research', 'Social Work']     |         ['anderson', 'economics']         |
|                  \                   |   ['current staff', 'teaching']    |            ['weber', 'physics']           |
|                  \                   |    ['later released', 'poetry']    |        ['love', 'life experience']        |
|                  \                   |       ['today', 'education']       |             ['often', 'music']            |
|                  \                   |         ['today', 'music']         |          ['hoffmann', 'genetics']         |
|                  \                   |        ['usually', 'music']        |          ['typically', 'finance']         |
|                  \                   |      ['today', 'journalism']       |        ['johnson mainly', 'acting']       |
|                  \                   |      ['today', 'psychology']       |         ['ana actively', 'media']         |
|                  \                   |    ['usually', 'architecture']     |           ['often', 'education']          |
|                  \                   |       ['today', 'medicine']        |          ['francesca', 'fashion']         |
+--------------------------------------+------------------------------------+-------------------------------------------+
==================================================
Relation: P106_occupation
Prompts:
- 1.0000 <ENT0> is a <ENT1> by profession .
Harvested Tuples:
+---------------------------------------------------------+---------------------------------------------+-------------------------------------------+
|                       Seed samples                      |                Ours (Top 20)                | Ours (Random samples over top 200 tuples) |
+---------------------------------------------------------+---------------------------------------------+-------------------------------------------+
|               ['Emily Barton', 'novelist']              |      ['sir george', 'surgeon general']      |           ['oliveira', 'model']           |
|                ['Max Volmer', 'chemist']                | ['christopher williams', 'surgeon general'] |             ['baker', 'cook']             |
|              ['Ernst Jaakson', 'diplomat']              |          ['today marina', 'hotel']          |         ['thompson', 'solicitor']         |
|              ['Steve Swallow', 'composer']              |             ['singh', 'lawyer']             |            ['black', 'sailor']            |
| ['John Ashburnham, 1st Baron Ashburnham', 'politician'] |        ['today marina', 'restaurant']       |          ['guerrero', 'soldier']          |
|                            \                            |              ['lee', 'lawyer']              |           ['wright', 'mechanic']          |
|                            \                            |         ['today marina', 'shipyard']        |              ['cox', 'diver']             |
|                            \                            |           ['anderson', 'teacher']           |          ['harper', 'technician']         |
|                            \                            |            ['anderson', 'lawyer']           |            ['davies', 'writer']           |
|                            \                            |            ['johnson', 'lawyer']            |           ['anderson', 'lawyer']          |
|                            \                            |             ['smith', 'farmer']             |            ['mason', 'builder']           |
|                            \                            |              ['lee', 'teacher']             |             ['anna', 'nurse']             |
|                            \                            |          ['today marina', 'museum']         |             ['lee', 'farmer']             |
|                            \                            |             ['singh', 'teacher']            |           ['benedict', 'priest']          |
|                            \                            |             ['brown', 'teacher']            |            ['white', 'sailor']            |
|                            \                            |            ['johnson', 'teacher']           |             ['kim', 'farmer']             |
|                            \                            |           ['today marina', 'port']          |           ['knight', 'soldier']           |
|                            \                            |          ['anderson', 'journalist']         |             ['lang', 'nurse']             |
|                            \                            |            ['lee', 'journalist']            |          ['anderson', 'teacher']          |
|                            \                            |           ['jones', 'journalist']           |    ['daniel edwards', 'jockey trainer']   |
+---------------------------------------------------------+---------------------------------------------+-------------------------------------------+
==================================================
Relation: P527_has_part
Prompts:
- 1.0000 <ENT0> consists of <ENT1> .
Harvested Tuples:
+-----------------------------------+-------------------------------------------------------+----------------------------------------------------+
|            Seed samples           |                     Ours (Top 20)                     |     Ours (Random samples over top 200 tuples)      |
+-----------------------------------+-------------------------------------------------------+----------------------------------------------------+
|       ['adenine', 'carbon']       |           ['economic productivity', 'labor']          |            ['distribution', 'forests']             |
|     ['paraffin wax', 'carbon']    |          ['logic', 'mathematical reasoning']          |          ['basic vocabulary', 'grammar']           |
|    ['vinyl chloride', 'carbon']   |           ['solar thermal', 'solar panels']           |                 ['color', 'black']                 |
|        ['egg white', 'egg']       |              ['economy', 'rural economy']             |              ['county', 'mountains']               |
| ['hydrochloric acid', 'hydrogen'] |            ['industry', 'small industries']           |            ['coffee', 'vegetable oils']            |
|                 \                 |            ['logic', 'mathematical logic']            |    ['intelligence', 'individual intelligence']     |
|                 \                 |          ['economic productivity', 'labour']          |         ['finance', 'Financial Planning']          |
|                 \                 |           ['landscape', 'natural landscape']          |                ['power', 'energy']                 |
|                 \                 |   ['statistical statistics', 'statistical analysis']  |       ['entertainment', 'live performances']       |
|                 \                 | ['statistical statistics', 'mathematical statistics'] | ['statistical statistics', 'statistical analysis'] |
|                 \                 |             ['carbon', 'molecular oxygen']            |               ['county', 'forests']                |
|                 \                 |       ['classical theory', 'classical physics']       |                ['usually', 'three']                |
|                 \                 |             ['carbon', 'molecular carbon']            |           ['modern literature', 'prose']           |
|                 \                 |          ['heavy weaponry', 'heavy weapons']          |               ['majority', 'women']                |
|                 \                 |          ['research', 'scientific research']          |          ['modern literature', 'novels']           |
|                 \                 |        ['entertainment', 'live entertainment']        |             ['typical prey', 'birds']              |
|                 \                 |  ['mechanical technology', 'mechanical engineering']  |                 ['land', 'forest']                 |
|                 \                 |          ['science', 'scientific knowledge']          |  ['mechanical technology', 'several disciplines']  |
|                 \                 |         ['heavy weaponry', 'heavy artillery']         |                ['town', 'villages']                |
|                 \                 |      ['classical theory', 'classical mechanics']      |               ['interior', 'caves']                |
+-----------------------------------+-------------------------------------------------------+----------------------------------------------------+
==================================================
Relation: P530_diplomatic_relation
Prompts:
- 1.0000 <ENT0> maintains diplomatic relations with <ENT1> .
Harvested Tuples:
+-------------------------------------------+-------------------------------+-------------------------------------------+
|                Seed samples               |         Ours (Top 20)         | Ours (Random samples over top 200 tuples) |
+-------------------------------------------+-------------------------------+-------------------------------------------+
|         ['South Korea', 'Russia']         |    ['iraq', 'South Yemen']    |          ['argentina', 'Uruguay']         |
|            ['France', 'Serbia']           |    ['tajikistan', 'India']    |        ['pakistan', 'Afghanistan']        |
|           ['Cape Verde', 'Cuba']          |    ['tajikistan', 'Russia']   |             ['cuba', 'France']            |
| ['United States of America', 'Argentina'] |     ['tajikistan', 'Iran']    |             ['laos', 'France']            |
|          ['Australia', 'Belgium']         |       ['iran', 'Turkey']      |   ['southern kyrgyzstan', 'Uzbekistan']   |
|                     \                     |    ['tajikistan', 'China']    |        ['south africa', 'Liberia']        |
|                     \                     |    ['india', 'Bangladesh']    |          ['uruguay', 'Venezuela']         |
|                     \                     | ['tajikistan', 'Afghanistan'] |          ['yugoslavia', 'Serbia']         |
|                     \                     |   ['bangladesh', 'Pakistan']  |         ['mozambique', 'Belgium']         |
|                     \                     |  ['central arabia', 'Libya']  |            ['congo', 'Brazil']            |
|                     \                     |      ['israel', 'Egypt']      |        ['kyrgyzstan', 'Azerbaijan']       |
|                     \                     |    ['azerbaijan', 'Turkey']   |        ['north africa', 'Liberia']        |
|                     \                     |    ['kyrgyzstan', 'Russia']   |         ['botswana', 'Mozambique']        |
|                     \                     |       ['iran', 'India']       |         ['zimbabwe', 'Mozambique']        |
|                     \                     |   ['pakistan', 'Bangladesh']  |          ['slovenia', 'Hungary']          |
|                     \                     |      ['israel', 'Syria']      |            ['israel', 'China']            |
|                     \                     |  ['pakistan', 'Afghanistan']  |          ['tajikistan', 'India']          |
|                     \                     |     ['india', 'Pakistan']     |          ['kazakhstan', 'Turkey']         |
|                     \                     |    ['bangladesh', 'Nepal']    |         ['switzerland', 'Denmark']        |
|                     \                     |     ['algeria', 'Morocco']    |         ['switzerland', 'Germany']        |
+-------------------------------------------+-------------------------------+-------------------------------------------+
==================================================
Relation: P176_manufacturer
Prompts:
- 1.0000 <ENT0> is produced by <ENT1> .
Harvested Tuples:
+----------------------------+--------------------------------------+-------------------------------------------+
|        Seed samples        |            Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+----------------------------+--------------------------------------+-------------------------------------------+
| ['Nissan 180SX', 'Nissan'] |      ['life', 'living things']       |            ['drama', 'Studio']            |
|   ['Fiat 4 HP', 'Fiat']    |   ['happiness', 'good intentions']   |        ['original score', 'Ocean']        |
| ['Alpine A108', 'Renault'] |      ['much wealth', 'tourism']      |       ['modern porcelain', 'Japan']       |
|  ['Lancia Gamma', 'Fiat']  |     ['home shopping', 'Target']      |       ['volleyball', 'sport teams']       |
|   ['Nokia N8', 'Nokia']    |      ['real time', 'satellite']      |             ['power', 'steam']            |
|             \              |    ['natural rubber', 'tapping']     |      ['basic fat', 'fat metabolism']      |
|             \              |       ['local news', 'Metro']        |   ['international editions', 'Penguin']   |
|             \              |   ['primary nutrition', 'animals']   |          ['food', 'agriculture']          |
|             \              |    ['pain', 'muscle contraction']    |       ['english wikipedia', 'Adobe']      |
|             \              |       ['much wealth', 'trade']       |     ['much pollution', 'automobiles']     |
|             \              |     ['pure uranium', 'reactors']     |        ['coke', 'United Reactions']       |
|             \              |  ['primary nutrition', 'livestock']  |        ['classic pop', 'producers']       |
|             \              |      ['pure silver', 'milling']      |  ['active matter', 'Molecular Processes'] |
|             \              | ['standard trim', 'American Motors'] |             ['drama', 'Govt']             |
|             \              |     ['pure uranium', 'melting']      |      ['passion', 'physical contact']      |
|             \              |    ['domestic produce', 'farms']     |           ['soundtrack', 'Ravi']          |
|             \              |   ['full volume', 'subscription']    |             ['audio', 'Sony']             |
|             \              |    ['much pollution', 'vehicles']    |         ['daily traffic', 'buses']        |
|             \              |      ['much pollution', 'cars']      |         ['hope', 'human emotion']         |
|             \              |      ['every article', 'post']       |         ['much pollution', 'cars']        |
+----------------------------+--------------------------------------+-------------------------------------------+
==================================================
Relation: P27_country_of_citizenship
Prompts:
- 1.0000 <ENT0> is <ENT1> citizen .
Harvested Tuples:
+----------------------------------+--------------------------------------+-------------------------------------------+
|           Seed samples           |            Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+----------------------------------+--------------------------------------+-------------------------------------------+
| ['Maria Wetterstrand', 'Sweden'] | ['president argentina', 'Argentine'] |         ['elizabeth', 'Nigerian']         |
|     ['Mel Charles', 'Wales']     |      ['de jong', 'Indonesian']       |           ['thomas', 'private']           |
| ['Brenda Asnicar', 'Argentina']  |        ['david', 'American']         |     ['master soldier', 'enemy versus']    |
|    ['Sachimi Iwao', 'Japan']     |         ['john', 'American']         |           ['father', 'Russian']           |
|   ['Thomas Ong', 'Singapore']    |       ['michael', 'American']        |           ['laura', 'Brazilian']          |
|                \                 |        ['george', 'American']        |            ['jane', 'Japanese']           |
|                \                 |         ['paul', 'American']         |        ['thus whoever', 'becomes']        |
|                \                 |    ['tiny person', 'small sized']    |            ['hansen', 'Danish']           |
|                \                 |         ['john', 'Canadian']         |           ['singh', 'Pakistani']          |
|                \                 |        ['george', 'Canadian']        |            ['julia', 'Italian']           |
|                \                 |         ['david', 'British']         |         ['schneider', 'Austrian']         |
|                \                 |       ['michael', 'Canadian']        |            ['adam', 'Israeli']            |
|                \                 |    ['today vladimir', 'Croatian']    |            ['sir thou', 'mine']           |
|                \                 |          ['peter', 'Swiss']          |            ['frank', 'public']            |
|                \                 |    ['today vladimir', 'Serbian']     |            ['ruth', 'Russian']            |
|                \                 |        ['robert', 'Canadian']        |            ['michael', 'Swiss']           |
|                \                 |   ['christian faith', 'spiritual']   |        ['citizen system', 'social']       |
|                \                 |   ['master slave', 'slave versus']   |           ['julia', 'Brazilian']          |
|                \                 |         ['john', 'British']          |           ['herbert', 'Danish']           |
|                \                 |         ['peter', 'German']          |             ['tom', 'another']            |
+----------------------------------+--------------------------------------+-------------------------------------------+
==================================================
Relation: P407_language_of_work_or_name
Prompts:
- 1.0000 <ENT0> was written in <ENT1> .
Harvested Tuples:
+--------------------------------------------+------------------------------------------+-------------------------------------------+
|                Seed samples                |              Ours (Top 20)               | Ours (Random samples over top 200 tuples) |
+--------------------------------------------+------------------------------------------+-------------------------------------------+
| ['Black Holes and Revelations', 'English'] |         ['every word', 'blood']          |      ['modern hungarian', 'Burmese']      |
|      ['The Eternal Idol', 'English']       |          ['every word', 'ink']           |            ['fang', 'Chinese']            |
|       ['Coup de Torchon', 'French']        |         ['every word', 'stone']          |            ['music', 'English']           |
|     ['A Marriage Proposal', 'Russian']     |          ['de vera', 'Venice']           |            ['film', 'Bengali']            |
|        ['Oliver Twist', 'English']         |        ['every minute', 'prose']         |            ['smith', 'Swedish']           |
|                     \                      |     ['another adaptation', 'Russia']     |             ['god', 'Hebrew']             |
|                     \                      | ['additional instrumentation', 'studio'] |             ['text', 'German']            |
|                     \                      |      ['total length', 'full score']      |           ['de vera', 'Venice']           |
|                     \                      |   ['additional footage', 'Hollywood']    |       ['general population', 'bold']      |
|                     \                      |   ['additional footage', 'Vancouver']    |             ['smith', 'Dutch']            |
|                     \                      |        ['every minute', 'verse']         |            ['poetry', 'French']           |
|                     \                      |      ['modern turkish', 'Cyrillic']      |        ['press review', 'advance']        |
|                     \                      |          ['de palma', 'Spain']           |             ['text', 'Greek']             |
|                     \                      |     ['historical reality', 'prose']      |      ['another adaptation', 'Russia']     |
|                     \                      |     ['general suffrage', 'England']      |      ['initial screenplay', 'India']      |
|                     \                      |       ['general suffrage', 'June']       |            ['vietnam', 'Khmer']           |
|                     \                      |    ['additional programming', 'Ada']     |            ['album', 'London']            |
|                     \                      |           ['de vita', 'Rome']            |          ['every word', 'stone']          |
|                     \                      |     ['modern portuguese', 'Basque']      |      ['general suffrage', 'England']      |
|                     \                      |     ['modern folklore', 'Hungarian']     |             ['song', 'Sweden']            |
+--------------------------------------------+------------------------------------------+-------------------------------------------+
==================================================
Relation: P30_continent
Prompts:
- 1.0000 <ENT0> is located in <ENT1> .
Harvested Tuples:
+-------------------------------------+----------------------------------------------+-------------------------------------------+
|             Seed samples            |                Ours (Top 20)                 | Ours (Random samples over top 200 tuples) |
+-------------------------------------+----------------------------------------------+-------------------------------------------+
|       ['Turgai River', 'Asia']      |       ['modern usage', 'modern times']       |          ['university', 'Dhaka']          |
|   ['Achaean Range', 'Antarctica']   |     ['modern history', 'history class']      |      ['language', 'every classroom']      |
|    ['Hammer Point', 'Antarctica']   |         ['data', 'Google Database']          |            ['mine', 'Ukraine']            |
| ['Enterprise Island', 'Antarctica'] |    ['typical use', 'urban environments']     |        ['winter training', 'Aspen']       |
|   ['Reeves Glacier', 'Antarctica']  |        ['total revenue', 'Telangana']        |      ['cape', 'Western Newfoundland']     |
|                  \                  |   ['modern history', 'history textbooks']    |             ['mine', 'Brazil']            |
|                  \                  |       ['total revenue', 'Maharashtra']       |        ['km²', 'Eastern Slovakia']        |
|                  \                  |         ['total revenue', 'Kerala']          |            ['music', 'Chicago']           |
|                  \                  |      ['typical use', 'urban settings']       |            ['college', 'Pune']            |
|                  \                  |           ['data', 'Google Data']            |            ['village', 'india']           |
|                  \                  | ['economic investment', 'rural communities'] |            ['river', 'Ukraine']           |
|                  \                  |            ['de wien', 'Utrecht']            |      ['national library', 'Colombo']      |
|                  \                  |            ['de wien', 'Leiden']             |          ['theater', 'downtown']          |
|                  \                  |           ['de wien', 'Rotterdam']           |          ['membership', 'London']         |
|                  \                  |        ['winter storage', 'Portland']        |       ['home training', 'Cambridge']      |
|                  \                  |        ['winter storage', 'Seattle']         |       ['winter storage', 'Portland']      |
|                  \                  |          ['jubilee year', 'April']           |       ['jubilee year', 'September']       |
|                  \                  |        ['jubilee year', 'September']         |            ['park', 'Belgrade']           |
|                  \                  |      ['typical use', 'rural settings']       |     ['depression', 'tropical climate']    |
|                  \                  |        ['typical use', 'Urban Areas']        |        ['aurora', 'Summer Season']        |
+-------------------------------------+----------------------------------------------+-------------------------------------------+
==================================================
Relation: P178_developer
Prompts:
- 1.0000 <ENT0> is developed by <ENT1> .
Harvested Tuples:
+--------------------------------------------+----------------------------------------------------+-------------------------------------------------+
|                Seed samples                |                   Ours (Top 20)                    |    Ours (Random samples over top 200 tuples)    |
+--------------------------------------------+----------------------------------------------------+-------------------------------------------------+
| ['Transaction Processing Facility', 'IBM'] |          ['evidence', 'expert witnesses']          |          ['amber', 'natural processes']         |
|   ['Microsoft Office 2000', 'Microsoft']   |         ['liberty', 'individual liberty']          |            ['point', 'adding point']            |
|        ['Donkey Kong', 'Nintendo']         | ['traditional wisdom', 'practicing practitioners'] |            ['spider venom', 'birds']            |
|         ['Mac OS X Lion', 'Apple']         |           ['peace', 'social solidarity']           |            ['word', 'adding vowels']            |
|       ['Google Hangouts', 'Google']        |        ['much vocabulary', 'young adults']         |          ['modern media', 'technology']         |
|                     \                      |           ['village', 'private sector']            |                 ['game', 'Sega']                |
|                     \                      |            ['every member', 'members']             |                ['alpha', 'Nokia']               |
|                     \                      |              ['live chat', 'Twitter']              |         ['flash', 'Silicon Processors']         |
|                     \                      |           ['peace', 'social relations']            |               ['music', 'Square']               |
|                     \                      |              ['park', 'green spaces']              |         ['classic style', 'architects']         |
|                     \                      |           ['modern weaponry', 'Germany']           |        ['peace', 'social relationships']        |
|                     \                      |              ['pure silver', 'gold']               |                ['games', 'Atari']               |
|                     \                      |         ['much traffic', 'road transport']         |          ['peace', 'social relations']          |
|                     \                      |       ['revolution', 'political revolution']       |          ['skin', 'natural selection']          |
|                     \                      |             ['every part', 'experts']              |            ['pure silver', 'melting']           |
|                     \                      |        ['much vocabulary', 'young readers']        |       ['happiness', 'social interactions']      |
|                     \                      |           ['another form', 'Aristotle']            |            ['source', 'open sources']           |
|                     \                      |              ['pure uranium', 'Iran']              |              ['software', 'Nokia']              |
|                     \                      |            ['every section', 'experts']            |             ['programming', 'Apple']            |
|                     \                      |            ['football', 'United Youth']            | ['traditional writing', 'professional authors'] |
+--------------------------------------------+----------------------------------------------------+-------------------------------------------------+
==================================================
Relation: P1376_capital_of
Prompts:
- 1.0000 <ENT0> is the capital of <ENT1> .
Harvested Tuples:
+-----------------------------+--------------------------------+-------------------------------------------+
|         Seed samples        |         Ours (Top 20)          | Ours (Random samples over top 200 tuples) |
+-----------------------------+--------------------------------+-------------------------------------------+
|   ['Dhaka', 'Bangladesh']   |   ['el norte', 'Argentina']    |           ['hiroshima', 'Japan']          |
|   ['Monrovia', 'Liberia']   |     ['la serena', 'Cuba']      |           ['augusta', 'Sicily']           |
|  ['Brisbane', 'Queensland'] |    ['la serena', 'Granada']    |           ['jakarta', 'Sumatra']          |
| ['Hartford', 'Connecticut'] |    ['el porto', 'Veracruz']    |            ['jakarta', 'Java']            |
|   ['Arlon', 'Luxembourg']   |     ['la paz', 'Valencia']     |          ['caracas', 'Venezuela']         |
|              \              |    ['el porto', 'Santiago']    |       ['grand harbour', 'Mauritius']      |
|              \              |    ['la paz', 'Catalonia']     |         ['ahmad nagar', 'Haryana']        |
|              \              |     ['del sur', 'Uruguay']     |          ['da cruz', 'Catalonia']         |
|              \              |    ['sai yan', 'Thailand']     |           ['ra river', 'region']          |
|              \              |    ['sai mai', 'Thailand']     |          ['rotterdam', 'Holland']         |
|              \              |   ['la grande', 'Provence']    |          ['el valle', 'Granada']          |
|              \              |    ['jakarta', 'Indonesia']    |         ['bangalore', 'Karnataka']        |
|              \              |     ['istanbul', 'Turkey']     |             ['bath', 'Kuwait']            |
|              \              |    ['le ville', 'Normandy']    |            ['santiago', 'Peru']           |
|              \              | ['north york', 'Pennsylvania'] |           ['la serena', 'Cuba']           |
|              \              |    ['el valle', 'Granada']     |         ['newcastle', 'Scotland']         |
|              \              |       ['tehran', 'Iran']       |       ['north york', 'Pennsylvania']      |
|              \              |   ['north york', 'Vermont']    |             ['bari', 'Benin']             |
|              \              |    ['ali sharif', 'Qatar']     |          ['chennai', 'Telangana']         |
|              \              |   ['del norte', 'Argentina']   |          ['orléans', 'Brittany']          |
+-----------------------------+--------------------------------+-------------------------------------------+
==================================================
Relation: P131_located_in_the_administrative_territorial_entity
Prompts:
- 1.0000 <ENT0> is located in <ENT1> .
Harvested Tuples:
+----------------------------------------------------------+----------------------------------------------+-------------------------------------------+
|                       Seed samples                       |                Ours (Top 20)                 | Ours (Random samples over top 200 tuples) |
+----------------------------------------------------------+----------------------------------------------+-------------------------------------------+
|                ['Lake Bluff', 'Illinois']                |       ['modern usage', 'modern times']       | ['settlement status', 'official sources'] |
| ['Massachusetts Bay Transportation Authority', 'Boston'] |     ['modern history', 'history class']      |       ['total revenue', 'Telangana']      |
|          ['Lakeridge Health Oshawa', 'Ontario']          |         ['data', 'Google Database']          |         ['sanctuary', 'Bangalore']        |
|             ['Raft River Mountains', 'Utah']             |    ['typical use', 'urban environments']     |     ['linden oak', 'abundance nearby']    |
|              ['Little Bear River', 'Utah']               |        ['total revenue', 'Telangana']        |        ['violence', 'rural areas']        |
|                            \                             |   ['modern history', 'history textbooks']    |       ['winter storage', 'Portland']      |
|                            \                             |       ['total revenue', 'Maharashtra']       |          ['omega', 'Blue Cells']          |
|                            \                             |         ['total revenue', 'Kerala']          |          ['airport', 'Hyderabad']         |
|                            \                             |      ['typical use', 'urban settings']       |              ['mine', 'Peru']             |
|                            \                             |           ['data', 'Google Data']            | ['settlement status', 'Official Website'] |
|                            \                             | ['economic investment', 'rural communities'] |          ['mass', 'low pressure']         |
|                            \                             |            ['de wien', 'Utrecht']            |     ['content', 'multiple locations']     |
|                            \                             |            ['de wien', 'Leiden']             |        ['home training', 'Ottawa']        |
|                            \                             |           ['de wien', 'Rotterdam']           |       ['green policy', 'government']      |
|                            \                             |        ['winter storage', 'Portland']        |      ['language', 'every classroom']      |
|                            \                             |        ['winter storage', 'Seattle']         |             ['park', 'Mumbai']            |
|                            \                             |          ['jubilee year', 'April']           |             ['music', 'Tokyo']            |
|                            \                             |        ['jubilee year', 'September']         |     ['green technology', 'education']     |
|                            \                             |      ['typical use', 'rural settings']       |       ['president staff', 'Seattle']      |
|                            \                             |        ['typical use', 'Urban Areas']        |   ['cove', 'Southeastern Newfoundland']   |
+----------------------------------------------------------+----------------------------------------------+-------------------------------------------+
==================================================
Relation: P1412_languages_spoken,_written_or_signed
Prompts:
- 1.0000 <ENT0> used to communicate in <ENT1> .
Harvested Tuples:
+----------------------------------------+-----------------------------------------+-------------------------------------------+
|              Seed samples              |              Ours (Top 20)              | Ours (Random samples over top 200 tuples) |
+----------------------------------------+-----------------------------------------+-------------------------------------------+
|       ['Huangfu Mi', 'Chinese']        | ['generally rarely', 'formal contexts'] |   ['together may', 'group discussions']   |
| ['Giovanni Lindo Ferretti', 'Italian'] | ['generally rarely', 'formal settings'] |    ['together may', 'group activities']   |
|      ['Heikki Siren', 'Finnish']       |       ['sometimes seen', 'combat']      |            ['israel', 'Hebrew']           |
|       ['Keren Peles', 'Hebrew']        |       ['players get', 'game play']      |              ['ali', 'rhyme']             |
|      ['Aharon Zisling', 'Hebrew']      |        ['children get', 'school']       |          ['students', 'Spanish']          |
|                   \                    |       ['humans become', 'nature']       |       ['voiced', 'rapid succession']      |
|                   \                    |   ['often rarely', 'formal contexts']   |       ['prime', 'rapid succession']       |
|                   \                    |        ['children get', 'class']        |             ['maya', 'pairs']             |
|                   \                    |   ['often rarely', 'formal settings']   |         ['ocean', 'Ancient Egypt']        |
|                   \                    |     ['residents', 'telephone lines']    |            ['family', 'Telugu']           |
|                   \                    |     ['later', 'radio transmissions']    |      ['adults', 'oral communication']     |
|                   \                    |       ['adults become', 'silence']      |      ['residents', 'telephone lines']     |
|                   \                    |           ['people', 'Tamil']           |          ['players get', 'games']         |
|                   \                    |           ['people', 'secret']          |            ['police', 'French']           |
|                   \                    |         ['girls get', 'school']         |           ['members', 'secret']           |
|                   \                    |          ['people', 'English']          |             ['police', 'code']            |
|                   \                    |    ['voice tools', 'voice synthesis']   |        ['jack', 'remote locations']       |
|                   \                    |           ['people', 'French']          |        ['children never', 'class']        |
|                   \                    |  ['together may', 'group discussions']  |             ['khan', 'Arabic']            |
|                   \                    |   ['together often', 'group meetings']  |          ['siblings', 'private']          |
+----------------------------------------+-----------------------------------------+-------------------------------------------+
==================================================
Relation: P108_employer
Prompts:
- 1.0000 <ENT0> works for <ENT1> .
Harvested Tuples:
+----------------------------------+--------------------------------------------+-----------------------------------------------+
|           Seed samples           |               Ours (Top 20)                |   Ours (Random samples over top 200 tuples)   |
+----------------------------------+--------------------------------------------+-----------------------------------------------+
|      ['Scott Mills', 'BBC']      |        ['every citizen', 'freedom']        |               ['harry', 'Mike']               |
|   ['Armando Iannucci', 'BBC']    |      ['various', 'chamber ensemble']       |                ['jesus', 'God']               |
|      ['James Moir', 'BBC']       |      ['various', 'chamber ensembles']      |               ['three', 'choir']              |
|  ['John Fellows Akers', 'IBM']   |      ['several', 'chamber ensemble']       |               ['two', 'violin']               |
| ['Ward Cunningham', 'Microsoft'] |     ['additional', 'chamber ensemble']     |                ['two', 'piano']               |
|                \                 |        ['every worker', 'freedom']         |              ['mostly', 'radio']              |
|                \                 |     ['notable', 'private collections']     |                ['john', 'Max']                |
|                \                 | ['additional', 'Orchestral Accompaniment'] |              ['julia', 'Victor']              |
|                \                 |       ['seven', 'Chamber Ensemble']        |           ['player', 'Team Manager']          |
|                \                 |              ['two', 'piano']              |           ['male worker', 'farmers']          |
|                \                 |      ['russian dialect', 'emphasis']       |      ['includes', 'orchestral ensembles']     |
|                \                 |            ['two', 'orchestra']            |        ['general training', 'teachers']       |
|                \                 |        ['every student', 'school']         | ['top scientific', 'Scientific Publications'] |
|                \                 |        ['current', 'Music Theory']         |                 ['joe', 'Max']                |
|                \                 |     ['notable', 'Private Collection']      |             ['usually', 'clients']            |
|                \                 |       ['russian dialect', 'clarity']       |                ['red', 'Blue']                |
|                \                 |     ['russian dialect', 'convenience']     |              ['three', 'violin']              |
|                \                 |             ['three', 'piano']             |              ['elena', 'Daniel']              |
|                \                 |             ['four', 'piano']              |               ['four', 'violin']              |
|                \                 |              ['two', 'organ']              |               ['art', 'posters']              |
+----------------------------------+--------------------------------------------+-----------------------------------------------+
==================================================
Relation: P136_genre
Prompts:
- 1.0000 <ENT0> plays <ENT1> music .
Harvested Tuples:
+------------------------------+------------------------------------+-------------------------------------------+
|         Seed samples         |           Ours (Top 20)            | Ours (Random samples over top 200 tuples) |
+------------------------------+------------------------------------+-------------------------------------------+
|   ['Jack Parnell', 'jazz']   |      ['red velvet', 'gentle']      |               ['joe', 'rap']              |
|  ['Garnett Brown', 'jazz']   |       ['black soul', 'funk']       |           ['catherine', 'piano']          |
| ['Orphan Black', 'thriller'] |  ['michael williams', 'backing']   |              ['paul', 'rock']             |
|   ['Steve Nieve', 'opera']   | ['urban fm', 'Urban Contemporary'] |             ['tony', 'dance']             |
|    ['Dennis Rea', 'jazz']    |       ['de vita', 'secular']       |            ['scott', 'chamber']           |
|              \               |   ['george williams', 'choral']    |           ['barbara', 'popular']          |
|              \               |       ['david', 'classical']       |        ['jonathan', 'instrumental']       |
|              \               |       ['john', 'classical']        |         ['daniel always', 'loud']         |
|              \               |       ['currently', 'rock']        |            ['chuck', 'guitar']            |
|              \               |       ['currently', 'jazz']        |             ['smith', 'folk']             |
|              \               |        ['joe', 'classical']        |         ['media', 'including tv']         |
|              \               |    ['currently', 'electronic']     |            ['ray', 'original']            |
|              \               |       ['dave', 'classical']        |      ['michael mitchell', 'backing']      |
|              \               |      ['david', 'electronic']       |               ['jon', 'rap']              |
|              \               |        ['currently', 'rap']        |         ['young', 'play theater']         |
|              \               |       ['john', 'electronic']       |             ['jimmy', 'organ']            |
|              \               |       ['matt', 'classical']        |            ['jack', 'country']            |
|              \               |   ['martin rarely', 'recorded']    |          ['adam', 'instrumental']         |
|              \               |      ['de vega', 'Brazilian']      |       ['eric often', 'experimental']      |
|              \               |      ['currently', 'gospel']       |       ['madame alone', 'much fine']       |
+------------------------------+------------------------------------+-------------------------------------------+
==================================================
Relation: P17_country
Prompts:
- 1.0000 <ENT0> is located in <ENT1> .
Harvested Tuples:
+------------------------------------------------------------+----------------------------------------------+---------------------------------------------+
|                        Seed samples                        |                Ours (Top 20)                 |  Ours (Random samples over top 200 tuples)  |
+------------------------------------------------------------+----------------------------------------------+---------------------------------------------+
|      ['Federal Palace of Switzerland', 'Switzerland']      |       ['modern usage', 'modern times']       |        ['blood', 'different tissues']       |
| ['2004 IAAF World Cross Country Championships', 'Belgium'] |     ['modern history', 'history class']      |        ['home training', 'Cambridge']       |
|                   ['Askola', 'Finland']                    |         ['data', 'Google Database']          |         ['life', 'tropical regions']        |
|             ['Sanlih E-Television', 'Taiwan']              |    ['typical use', 'urban environments']     |       ['district offices', 'Houston']       |
|      ['Chartered Professional Accountant', 'Canada']       |        ['total revenue', 'Telangana']        |            ['village', 'approx']            |
|                             \                              |   ['modern history', 'history textbooks']    |        ['green policy', 'government']       |
|                             \                              |       ['total revenue', 'Maharashtra']       |             ['airport', 'Baku']             |
|                             \                              |         ['total revenue', 'Kerala']          |           ['data', 'Google Data']           |
|                             \                              |      ['typical use', 'urban settings']       |            ['monument', 'Moscow']           |
|                             \                              |           ['data', 'Google Data']            |           ['de ville', 'Montreal']          |
|                             \                              | ['economic investment', 'rural communities'] |       ['blood', 'different locations']      |
|                             \                              |            ['de wien', 'Utrecht']            |            ['avenue', 'Jakarta']            |
|                             \                              |            ['de wien', 'Leiden']             |   ['modern history', 'history textbooks']   |
|                             \                              |           ['de wien', 'Rotterdam']           |            ['stadium', 'Mumbai']            |
|                             \                              |        ['winter storage', 'Portland']        |        ['total territory', 'Albania']       |
|                             \                              |        ['winter storage', 'Seattle']         |           ['omega', 'Blue Cells']           |
|                             \                              |          ['jubilee year', 'April']           |        ['president election', 'June']       |
|                             \                              |        ['jubilee year', 'September']         | ['economic industry', 'Agriculture Sector'] |
|                             \                              |      ['typical use', 'rural settings']       |        ['national museum', 'Tbilisi']       |
|                             \                              |        ['typical use', 'Urban Areas']        |         ['another station', 'Lima']         |
+------------------------------------------------------------+----------------------------------------------+---------------------------------------------+
==================================================
Relation: P39_position_held
Prompts:
- 1.0000 <ENT0> has the position of <ENT1> .
Harvested Tuples:
+------------------------------------+---------------------------------------+-------------------------------------------+
|            Seed samples            |             Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+------------------------------------+---------------------------------------+-------------------------------------------+
| ['Acacius of Caesarea', 'bishop']  |     ['football', 'national sport']    |       ['team owner', 'commissioner']      |
|      ['Sylvester II', 'pope']      |    ['vice presidential', 'Speaker']   |        ['currently', 'goalkeeper']        |
|     ['Sheila Dixon', 'mayor']      |    ['another candidate', 'Speaker']   |           ['key user', 'owner']           |
|    ['John E. Hines', 'bishop']     |     ['vice admiral', 'Commodore']     |          ['walker', 'Runner Ups']         |
| ['Liutprand of Cremona', 'bishop'] |    ['another soldier', 'sergeant']    |     ['stadium', 'international venue']    |
|                 \                  |      ['church', 'parish church']      |          ['ibrahim', 'Minister']          |
|                 \                  |   ['another officer', 'Lieutenant']   |          ['robinson', 'forward']          |
|                 \                  |    ['another officer', 'Sergeant']    |          ['jack still', 'driver']         |
|                 \                  |     ['another actor', 'narrator']     |         ['thus turkey', 'chicken']        |
|                 \                  |     ['school', 'National School']     |           ['player', 'defender']          |
|                 \                  |    ['vice presidential', 'Senator']   | ['martin traditionally', 'male guardian'] |
|                 \                  |       ['two teams', 'champions']      |      ['viola', 'leading instrument']      |
|                 \                  | ['football', 'national championship'] |            ['college', 'Govt']            |
|                 \                  |      ['music', 'highest quality']     |         ['marta', '1st position']         |
|                 \                  |       ['park', 'national park']       |         ['per vertex', 'symmetry']        |
|                 \                  |      ['two soldiers', 'command']      |         ['bright', 'Light Yellow']        |
|                 \                  |       ['top tier', 'champions']       |     ['labor', 'Social Responsibility']    |
|                 \                  |  ['research', 'scientific research']  |     ['green suit', 'neutral partner']     |
|                 \                  |       ['top three', 'champions']      |        ['music', 'highest quality']       |
|                 \                  |     ['vice chancellor', 'rector']     |        ['sometimes three', 'eight']       |
+------------------------------------+---------------------------------------+-------------------------------------------+
==================================================
Relation: P264_record_label
Prompts:
- 1.0000 <ENT0> is represented by music label <ENT1> .
Harvested Tuples:
+--------------------------------------------+---------------------------------------+-------------------------------------------+
|                Seed samples                |             Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+--------------------------------------------+---------------------------------------+-------------------------------------------+
|      ['The Famous Flames', 'Federal']      |  ['crystal glass', 'glass products']  |           ['grey', 'Billboard']           |
| ['Billy Ward and His Dominoes', 'Federal'] |         ['top rank', 'Oricon']        |          ['alexander', 'Warner']          |
|          ['Buddy Holly', 'Coral']          |       ['free jazz', 'Spectrum']       |           ['anthony', 'Warner']           |
|        ['Hank Ballard', 'Federal']         |    ['urban underground', 'Factory']   |          ['dixon', 'Metropolis']          |
|        ['Harry James', 'Brunswick']        |         ['top ten', 'Oricon']         |           ['han wa', 'Triangle']          |
|                     \                      |        ['urban soul', 'Motown']       |          ['higgins', 'Atlantic']          |
|                     \                      |        ['de baptiste', 'Opus']        |          ['morris', 'Sanctuary']          |
|                     \                      |       ['de oliveira', 'Mercury']      |             ['evans', 'Sony']             |
|                     \                      |         ['de facto', 'labels']        |            ['amber', 'Orange']            |
|                     \                      |        ['del rosario', 'Viva']        |           ['nakamura', 'Victor']          |
|                     \                      |         ['del carmen', 'Viva']        |            ['lee', 'Universal']           |
|                     \                      |         ['blue sky', 'Orange']        |         ['richards', 'Metropolis']        |
|                     \                      | ['crystal glass', 'glass sculptures'] |         ['amber', 'orange ribbon']        |
|                     \                      |         ['de rosario', 'Viva']        |             ['holland', 'Ark']            |
|                     \                      |          ['kim', 'Infinite']          |             ['green', 'Pink']             |
|                     \                      |          ['blue sky', 'Pink']         |              ['house', 'Ark']             |
|                     \                      |        ['best times', 'Record']       |           ['johnson', 'Capitol']          |
|                     \                      |            ['kim', 'Beast']           |             ['keys', 'Bliss']             |
|                     \                      |         ['han wa', 'Triangle']        |    ['crystal glass', 'glass products']    |
|                     \                      |         ['brown', 'Universal']        |             ['suzuki', 'Ave']             |
+--------------------------------------------+---------------------------------------+-------------------------------------------+
==================================================
Relation: P276_location
Prompts:
- 1.0000 <ENT0> is located in <ENT1> .
Harvested Tuples:
+---------------------------------------+----------------------------------------------+----------------------------------------------+
|              Seed samples             |                Ours (Top 20)                 |  Ours (Random samples over top 200 tuples)   |
+---------------------------------------+----------------------------------------------+----------------------------------------------+
|      ['Indie Memphis', 'Memphis']     |       ['modern usage', 'modern times']       |       ['cape', 'Western Newfoundland']       |
|    ['Edmonton Journal', 'Edmonton']   |     ['modern history', 'history class']      |           ['college', 'Bangalore']           |
|  ['Montreal Convention', 'Montreal']  |         ['data', 'Google Database']          |         ['aurora', 'Summer Season']          |
| ['Flying Pig Marathon', 'Cincinnati'] |    ['typical use', 'urban environments']     |          ['marina', 'port complex']          |
|    ['Basilica Cistern', 'Istanbul']   |        ['total revenue', 'Telangana']        |         ['bass', 'middle position']          |
|                   \                   |   ['modern history', 'history textbooks']    |           ['university', 'Lahore']           |
|                   \                   |       ['total revenue', 'Maharashtra']       |             ['church', 'approx']             |
|                   \                   |         ['total revenue', 'Kerala']          |           ['monument', 'Belgrade']           |
|                   \                   |      ['typical use', 'urban settings']       |       ['johnson square', 'Copenhagen']       |
|                   \                   |           ['data', 'Google Data']            |          ['sanctuary', 'Bangalore']          |
|                   \                   | ['economic investment', 'rural communities'] |         ['freedom symbol', 'middle']         |
|                   \                   |            ['de wien', 'Utrecht']            |         ['violence', 'rural areas']          |
|                   \                   |            ['de wien', 'Leiden']             | ['economic investment', 'rural communities'] |
|                   \                   |           ['de wien', 'Rotterdam']           |             ['park', 'Belgrade']             |
|                   \                   |        ['winter storage', 'Portland']        |          ['omega', 'blue spectrum']          |
|                   \                   |        ['winter storage', 'Seattle']         | ['economic industry', 'Agriculture Sector']  |
|                   \                   |          ['jubilee year', 'April']           |            ['land', 'California']            |
|                   \                   |        ['jubilee year', 'September']         |          ['song', 'Latin Language']          |
|                   \                   |      ['typical use', 'rural settings']       |         ['home plate', 'Arlington']          |
|                   \                   |        ['typical use', 'Urban Areas']        |           ['school', 'Bangalore']            |
+---------------------------------------+----------------------------------------------+----------------------------------------------+
==================================================
Relation: P937_work_location
Prompts:
- 1.0000 <ENT0> used to work in <ENT1> .
Harvested Tuples:
+-----------------------------------------+-----------------------------------------+-------------------------------------------+
|               Seed samples              |              Ours (Top 20)              | Ours (Random samples over top 200 tuples) |
+-----------------------------------------+-----------------------------------------+-------------------------------------------+
|       ['Ture Nerman', 'Stockholm']      |     ['still widely', 'laboratories']    |         ['thomas', 'agriculture']         |
|       ['David Salomons', 'London']      |      ['hassan muhammad', 'Lahore']      |            ['george', 'London']           |
|      ['Javier de Burgos', 'Madrid']     |     ['hassan muhammad', 'Hyderabad']    |            ['brown', 'Europe']            |
|       ['Aldus Manutius', 'Venice']      | ['although adams', 'mosques elsewhere'] |            ['zhang', 'Taiwan']            |
| ['Richard Brinsley Sheridan', 'London'] |          ['man', 'mine shaft']          |             ['david', 'India']            |
|                    \                    |    ['although adams', 'mosques etc']    |           ['nina', 'television']          |
|                    \                    |  ['although adams', 'mosques instead']  |          ['violet', 'blue paint']         |
|                    \                    |   ['previously residents', 'farming']   |         ['li often', 'hospitals']         |
|                    \                    |           ['singh', 'Mumbai']           |              ['raj', 'Govt']              |
|                    \                    |        ['still rarely', 'public']       |             ['anna', 'India']             |
|                    \                    |           ['li qin', 'heaven']          |         ['williams', 'Australia']         |
|                    \                    |            ['singh', 'Delhi']           |          ['alexander', 'Sweden']          |
|                    \                    |             ['ali', 'Dubai']            |        ['never', 'public services']       |
|                    \                    |         ['still women', 'mills']        |           ['ali', 'television']           |
|                    \                    |      ['michael solomon', 'Israel']      |            ['man', 'Mine Area']           |
|                    \                    |        ['people', 'agriculture']        |             ['lee', 'Canada']             |
|                    \                    |            ['ali', 'Mumbai']            |             ['paul', 'Paris']             |
|                    \                    |       ['even victoria', 'secret']       |           ['robert', 'Belgium']           |
|                    \                    |            ['khan', 'Mumbai']           |            ['people', 'hotels']           |
|                    \                    |          ['singh', 'Bangalore']         |        ['even victoria', 'secret']        |
+-----------------------------------------+-----------------------------------------+-------------------------------------------+
==================================================
Relation: P140_religion
Prompts:
- 1.0000 <ENT0> is affiliated with the <ENT1> religion .
Harvested Tuples:
+-----------------------------------------------+------------------------------------------+-------------------------------------------+
|                  Seed samples                 |              Ours (Top 20)               | Ours (Random samples over top 200 tuples) |
+-----------------------------------------------+------------------------------------------+-------------------------------------------+
|       ['Sumayyah bint Khayyat', 'Islam']      | ['black supremacy', 'Black Nationalist'] |             ['hall', 'Hindu']             |
|     ['Sultan Satuq Bughra Khan', 'Islam']     |     ['black unity', 'black gospel']      |        ['open religious', 'public']       |
| ['Nawabs of Bengal and Murshidabad', 'Islam'] |       ['today none', 'organized']        |          ['college', 'Christian']         |
|       ['Bade Ghulam Ali Khan', 'Islam']       |     ['modern nationalism', 'state']      |          ['michigan', 'Japanese']         |
| ['Wesleyan Methodist Church', 'Christianity'] |      ['modern scouting', 'Masonic']      |            ['baker', 'Quaker']            |
|                       \                       |  ['southern ireland', 'Sami Religious']  |             ['jones', 'Hindu']            |
|                       \                       |        ['modern mongolia', 'Sun']        |            ['college', 'Hindu']           |
|                       \                       |           ['temple', 'Hindu']            |           ['ke art', 'Chinese']           |
|                       \                       |      ['modern mongolia', 'Pauline']      |           ['jensen', 'Lutheran']          |
|                       \                       | ['conservative theology', 'traditional'] |          ['university', 'Sunni']          |
|                       \                       |   ['black unity', 'black nationalist']   |         ['hubbard', 'Scientology']        |
|                       \                       |            ['temple', 'Sikh']            |         ['wang', 'Yao Religious']         |
|                       \                       |   ['southern mongolia', 'sun worship']   |          ['abbey', 'Benedictine']         |
|                       \                       |    ['central authority', 'national']     |         ['open religion', 'true']         |
|                       \                       |         ['church', 'Christian']          |             ['temple', 'Jain']            |
|                       \                       |          ['church', 'Catholic']          |              ['shah', 'Shia']             |
|                       \                       |            ['temple', 'Jain']            |            ['smith', 'Jewish']            |
|                       \                       |          ['church', 'Baptist']           |             ['jones', 'Sikh']             |
|                       \                       |    ['central authority', 'majority']     |          ['williams', 'Baptist']          |
|                       \                       |   ['southern mongolia', 'sun goddess']   |         ['isaiah', 'Conservative']        |
+-----------------------------------------------+------------------------------------------+-------------------------------------------+
==================================================
Relation: P1303_instrument
Prompts:
- 1.0000 <ENT0> plays <ENT1> .
Harvested Tuples:
+-------------------------------------+--------------------------------------+-------------------------------------------+
|             Seed samples            |            Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+-------------------------------------+--------------------------------------+-------------------------------------------+
|       ['Otis Spann', 'piano']       |          ['nick', 'guitar']          |             ['teddy', 'banjo']            |
|     ['Julian Lennon', 'guitar']     |        ['key', 'per minute']         |              ['paul', 'Sgt']              |
|  ['Scott Klopfenstein', 'trumpet']  | ['william davis', 'tenor saxophone'] |           ['marc', 'goalkeeper']          |
| ['Tomaso Antonio Vitali', 'violin'] |          ['alex', 'guitar']          |        ['charity', 'Social Value']        |
|       ['Ma Sicong', 'violin']       |         ['nick', 'football']         |            ['nick', 'football']           |
|                  \                  |          ['alex', 'piano']           |              ['lily', 'host']             |
|                  \                  |           ['nick', 'bass']           |             ['two', 'played']             |
|                  \                  |           ['alex', 'bass']           |            ['david', 'violin']            |
|                  \                  |         ['andrew', 'piano']          |            ['joe', 'football']            |
|                  \                  |          ['alex', 'drums']           |              ['adam', 'well']             |
|                  \                  |   ['william lewis', 'centre half']   |        ['natasha', 'another role']        |
|                  \                  |          ['john', 'guitar']          |         ['charity', 'social work']        |
|                  \                  |          ['david', 'piano']          |             ['john', 'guitar']            |
|                  \                  |           ['nick', 'well']           |          ['love', 'around death']         |
|                  \                  |          ['john', 'piano']           |        ['thomas never', 'anymore']        |
|                  \                  |          ['jack', 'guitar']          |           ['lane', 'Play Offs']           |
|                  \                  |         ['andrew', 'drums']          |              ['rage', 'back']             |
|                  \                  |     ['five', 'became classics']      |            ['paul', 'Superman']           |
|                  \                  |           ['paul', 'Joe']            |             ['shaun', 'lead']             |
|                  \                  |          ['nick', 'chess']           |            ['andrew', 'drums']            |
+-------------------------------------+--------------------------------------+-------------------------------------------+
==================================================
Relation: P127_owned_by
Prompts:
- 1.0000 <ENT0> is owned by <ENT1> .
Harvested Tuples:
+-----------------------------------------------+---------------------------------------------+---------------------------------------------+
|                  Seed samples                 |                Ours (Top 20)                |  Ours (Random samples over top 200 tuples)  |
+-----------------------------------------------+---------------------------------------------+---------------------------------------------+
|     ['Revolution Analytics', 'Microsoft']     | ['general liability', 'corporate entities'] |            ['stadium', 'Rangers']           |
|              ['U-matic', 'Sony']              |   ['economic sovereignty', 'governments']   |        ['traffic', 'municipalities']        |
|         ['Google Contacts', 'Google']         |      ['economic sovereignty', 'states']     |              ['power', 'Metro']             |
| ['Save-On-Foods Memorial Centre', 'Victoria'] |             ['red ink', 'Adobe']            |        ['source code', 'Oracle Code']       |
|       ['Microsoft TechNet', 'Microsoft']      |           ['black tea', 'Taiwan']           |             ['village', 'Govt']             |
|                       \                       |    ['general liability', 'Corporate Law']   |         ['unit', 'Prime Ministers']         |
|                       \                       |     ['central london', 'Crown Property']    | ['active traffic', 'Transport Authorities'] |
|                       \                       |            ['love', 'every soul']           |       ['freedom', 'Political Parties']      |
|                       \                       |          ['green grass', 'farmers']         |               ['air', 'Saga']               |
|                       \                       |  ['mobile coverage', 'Spectrum Providers']  |          ['land', 'municipalities']         |
|                       \                       |   ['general revenue', 'local governments']  |           ['love', 'every person']          |
|                       \                       |        ['source code', 'Oracle Code']       |             ['central', 'Intel']            |
|                       \                       |           ['fusion fm', 'Pandora']          |             ['club', 'Rangers']             |
|                       \                       |      ['general retail', 'Crown Lands']      |      ['general retail', 'Crown Lands']      |
|                       \                       |   ['general revenue', 'public utilities']   |        ['hope', 'another individual']       |
|                       \                       |       ['economic value', 'consumers']       |         ['modern space', 'tenants']         |
|                       \                       |          ['black tobacco', 'Iran']          |    ['parliament', 'British Politicians']    |
|                       \                       |     ['mobile cable', 'Cable Operators']     |            ['stadium', 'United']            |
|                       \                       |          ['black soil', 'farmers']          |     ['active traffic', 'rail operators']    |
|                       \                       |       ['freedom', 'Political Parties']      |        ['index technology', 'Oracle']       |
+-----------------------------------------------+---------------------------------------------+---------------------------------------------+
==================================================
Relation: P103_native_language
Prompts:
- 1.0000 The native language of <ENT0> is <ENT1> .
Harvested Tuples:
+---------------------------------+------------------------------------+-------------------------------------------+
|           Seed samples          |           Ours (Top 20)            | Ours (Random samples over top 200 tuples) |
+---------------------------------+------------------------------------+-------------------------------------------+
|  ['Eduardo Duhalde', 'Spanish'] |  ['Northern Myanmar', 'Burmese']   |          ['Kosovo', 'Macedonian']         |
|  ['Gabriel Hanotaux', 'French'] |  ['Southern Myanmar', 'Burmese']   |            ['Chile', 'Spanish']           |
|        ['Ovid', 'Latin']        |      ['Botswana', 'English']       |           ['Finland', 'Danish']           |
|    ['Denys Corbet', 'French']   |     ['Bangladesh', 'Bengali']      |          ['Penang', 'Indonesian']         |
| ['Olga Medvedtseva', 'Russian'] |        ['Bhutan', 'Nepali']        |          ['county', 'Hungarian']          |
|                \                |   ['West Virginia', 'Cherokee']    |         ['Ljubljana', 'Croatian']         |
|                \                |  ['southern siberia', 'Romanian']  |           ['Bhutan', 'Bengali']           |
|                \                |  ['western siberia', 'Romanian']   |           ['Latvia', 'Estonian']          |
|                \                | ['Western Tasmania', 'Aboriginal'] |          ['Mongolia', 'Russian']          |
|                \                |  ['eastern siberia', 'Romanian']   |          ['Borneo', 'Indonesian']         |
|                \                |        ['Chile', 'Spanish']        |           ['Kerala', 'Kannada']           |
|                \                |  ['Northern Madagascar', 'Mari']   |      ['Northern Myanmar', 'Burmese']      |
|                \                |       ['Belize', 'Spanish']        |           ['Cameroon', 'Arabic']          |
|                \                |      ['Mauritius', 'French']       |          ['Guyana', 'Malayalam']          |
|                \                |  ['western kazakhstan', 'Turkic']  |           ['Tanzania', 'German']          |
|                \                |      ['Kerala', 'Malayalam']       |          ['Vietnamese', 'Khmer']          |
|                \                |        ['Pakistan', 'Urdu']        |            ['Israel', 'Hebrew']           |
|                \                |       ['Myanmar', 'Burmese']       |         ['Kazakhstan', 'Turkish']         |
|                \                |     ['Kyrgyzstan', 'Russian']      |             ['Laos', 'Tamil']             |
|                \                |       ['Botswana', 'French']       |            ['Vietnam', 'Thai']            |
+---------------------------------+------------------------------------+-------------------------------------------+
==================================================
Relation: P190_twinned_administrative_body
Prompts:
- 1.0000 <ENT0> and <ENT1> are twin cities .
Harvested Tuples:
+---------------------------------+--------------------------------------+-------------------------------------------+
|           Seed samples          |            Ours (Top 20)             | Ours (Random samples over top 200 tuples) |
+---------------------------------+--------------------------------------+-------------------------------------------+
|       ['Accra', 'Chicago']      | ['waterford lake', 'Lake Waterford'] |       ['lake albert', 'Lake Louise']      |
|        ['Seoul', 'Tokyo']       |     ['good times', 'Bad Times']      |           ['london', 'Windsor']           |
| ['Rio de Janeiro', 'Jerusalem'] |  ['good weather', 'quiet streets']   |     ['historically newark', 'Austin']     |
|      ['Vienna', 'Istanbul']     |        ['la paz', 'Granada']         |          ['hamburg', 'Dortmund']          |
|      ['Busan', 'Istanbul']      |       ['la grande', 'Cannes']        |     ['nearby louisville', 'Princeton']    |
|                \                |          ['tokyo', 'Osaka']          |           ['la paz', 'Granada']           |
|                \                |  ['nearby pittsburgh', 'Stirling']   |         ['copenhagen', 'Cologne']         |
|                \                |      ['athens', 'Thessaloniki']      |           ['lahore', 'Karachi']           |
|                \                |       ['shanghai', 'Beijing']        |           ['berlin', 'Brussels']          |
|                \                |      ['amsterdam', 'Rotterdam']      |          ['montreal', 'Victoria']         |
|                \                |        ['istanbul', 'Ankara']        |          ['milwaukee', 'Madison']         |
|                \                |   ['good weather', 'Water Level']    |             ['malmö', 'Lund']             |
|                \                |        ['tokyo', 'Yokohama']         |           ['lyon', 'Strasbourg']          |
|                \                |       ['helsinki', 'Tallinn']        |           ['shanghai', 'Taipei']          |
|                \                |       ['shanghai', 'Nanjing']        |          ['ljubljana', 'Zagreb']          |
|                \                |       ['la grande', 'Monaco']        |         ['shanghai', 'Guangzhou']         |
|                \                |         ['tokyo', 'Nagoya']          |   ['today freiburg', 'Freiburg Proper']   |
|                \                |       ['barcelona', 'Madrid']        |          ['edinburgh', 'Dundee']          |
|                \                |      ['shanghai', 'Guangzhou']       |           ['guangzhou', 'Macau']          |
|                \                |    ['good times', 'good things']     |      ['little havana', 'Little Tara']     |
+---------------------------------+--------------------------------------+-------------------------------------------+
==================================================
Relation: P1001_applies_to_jurisdiction
Prompts:
- 1.0000 <ENT0> is a legal term in <ENT1> .
Harvested Tuples:
+--------------------------------------------------------------+-----------------------------------------------+-------------------------------------------+
|                         Seed samples                         |                 Ours (Top 20)                 | Ours (Random samples over top 200 tuples) |
+--------------------------------------------------------------+-----------------------------------------------+-------------------------------------------+
| ['Speaker of the National Assembly of Pakistan', 'Pakistan'] |     ['good reputation', 'business ethics']    |        ['advocate', 'Legal Theory']       |
|                ['Hamburg Police', 'Hamburg']                 |        ['legal fiction', 'literature']        |        ['advocate', 'Modern Times']       |
|                   ['Indian Act', 'Canada']                   |            ['red carpet', 'Russia']           |           ['bang', 'Indonesia']           |
|         ['Secretaría de Inteligencia', 'Argentina']          |       ['power play', 'sports medicine']       |      ['home advantage', 'basketball']     |
|        ['Reference re Secession of Quebec', 'Canada']        |     ['basketball', 'American Basketball']     |            ['state', 'Brazil']            |
|                              \                               |          ['fire marshal', 'Ontario']          |      ['freedom', 'Chinese Language']      |
|                              \                               |        ['mass surveillance', 'Europe']        |           ['police', 'Nigeria']           |
|                              \                               |    ['money balance', 'banking terminology']   |       ['money security', 'banking']       |
|                              \                               |      ['money balance', 'banking systems']     |           ['hot rod', 'Britain']          |
|                              \                               |          ['legal entity', 'general']          |            ['marriage', 'Iran']           |
|                              \                               |           ['hot air', 'California']           |            ['prison', 'Japan']            |
|                              \                               |         ['home advantage', 'football']        |       ['sin', 'Christian Theology']       |
|                              \                               |            ['power play', 'sports']           |            ['tax', 'Australia']           |
|                              \                               |           ['power play', 'baseball']          |       ['prison', 'British Culture']       |
|                              \                               |          ['family', 'Indian Society']         |            ['tango', 'Uruguay']           |
|                              \                               |         ['legal domain', 'computing']         |             ['tribe', 'Kenya']            |
|                              \                               |           ['hot dog', 'California']           |          ['war rape', 'Vietnam']          |
|                              \                               |        ['corporal', 'military service']       |            ['pride', 'Ireland']           |
|                              \                               | ['money settlement', 'Business Transactions'] |         ['age', 'British Culture']        |
|                              \                               |          ['legal forum', 'computing']         |            ['freedom', 'China']           |
+--------------------------------------------------------------+-----------------------------------------------+-------------------------------------------+
==================================================
Relation: P31_instance_of
Prompts:
- 1.0000 <ENT0> is a <ENT1> .
Harvested Tuples:
+-------------------------------------+-----------------------------------------------+--------------------------------------------+
|             Seed samples            |                 Ours (Top 20)                 | Ours (Random samples over top 200 tuples)  |
+-------------------------------------+-----------------------------------------------+--------------------------------------------+
| ['Imperial Service Order', 'award'] |   ['nuclear weapons', 'controversial topic']  |              ['jack', 'dog']               |
|  ['Antichrist Superstar', 'album']  |    ['human trafficking', 'growing problem']   |            ['life', 'struggle']            |
|        ['Yota', 'trademark']        |       ['human suffering', 'Human Right']      |     ['power play', 'better strategy']      |
|       ['Heineken', 'brewery']       |     ['human trafficking', 'growing issue']    |         ['every world', 'planet']          |
|      ['Malaysia Today', 'blog']     |    ['social security', 'social insurance']    |      ['johnny williams', 'comedian']       |
|                  \                  |            ['white rice', 'staple']           |   ['human survival', 'Critical Concern']   |
|                  \                  |      ['human survival', 'critical issue']     |     ['nuclear waste', 'waste product']     |
|                  \                  |  ['ethnic nationalism', 'political concept']  |      ['business writing', 'passion']       |
|                  \                  |      ['economic stability', 'key issue']      |  ['nuclear warfare', 'military doctrine']  |
|                  \                  | ['physical reality', 'subjective perception'] |    ['economic stability', 'key factor']    |
|                  \                  |    ['nuclear warfare', 'military doctrine']   |             ['god', 'person']              |
|                  \                  |       ['nuclear waste', 'waste stream']       | ['molecular gravity', 'theoretical topic'] |
|                  \                  |    ['nuclear warfare', 'military concept']    |   ['classical logic', 'weaker version']    |
|                  \                  |    ['economic stability', 'key objective']    |         ['andrew', 'businessman']          |
|                  \                  |   ['physical strength', 'strong attribute']   |    ['master psychology', 'requirement']    |
|                  \                  |  ['ethnic nationalism', 'Political Ideology'] |          ['lord thou', 'knight']           |
|                  \                  |       ['heavy weight', 'better option']       |           ['white sand', 'must']           |
|                  \                  |           ['white rice', 'standard']          |        ['perhaps sleep', 'luxury']         |
|                  \                  |         ['pride', 'powerful emotion']         |              ['mom', 'nurse']              |
|                  \                  |    ['classical logic', 'classical theory']    |  ['media management', 'global practice']   |
+-------------------------------------+-----------------------------------------------+--------------------------------------------+
==================================================
Relation: P495_country_of_origin
Prompts:
- 1.0000 <ENT0> was created in <ENT1> .
Harvested Tuples:
+---------------------------+--------------------------------------------+-------------------------------------------+
|        Seed samples       |               Ours (Top 20)                | Ours (Random samples over top 200 tuples) |
+---------------------------+--------------------------------------------+-------------------------------------------+
|   ['Beneteau', 'France']  |       ['mass emigration', 'Britain']       |            ['river', 'Romania']           |
|      ['Larb', 'Laos']     |       ['mass extinction', 'Africa']        |       ['municipality', 'Argentina']       |
|    ['Tridev', 'India']    |           ['love', 'every way']            |           ['sound', '3D Video']           |
|   ['Golgo 13', 'Japan']   |       ['modern spelling', 'French']        |             ['mine', 'Canada']            |
| ['Crazed Fruit', 'Japan'] |          ['soul', 'pure purity']           |            ['club', 'Armenia']            |
|             \             |         ['mass flooding', 'Tokyo']         |           ['software', 'France']          |
|             \             |           ['soul', 'pure love']            |         ['province', 'Argentina']         |
|             \             |        ['russian version', 'Kiev']         |           ['data', 'Java Style']          |
|             \             | ['official history', 'history textbooks']  |           ['players', 'France']           |
|             \             |      ['housing', 'phases throughout']      |     ['national theatre', 'Bucharest']     |
|             \             |       ['general public', 'country']        |            ['album', 'London']            |
|             \             |      ['republican regime', 'Greece']       |            ['sound', '3D Mode']           |
|             \             |   ['majority voting', 'practice though']   |       ['tonight', 'perfect harmony']      |
|             \             |          ['love', 'every person']          |        ['man', 'prehistoric times']       |
|             \             |   ['mass production', 'Czechoslovakia']    |           ['software', 'India']           |
|             \             |      ['another subspecies', 'Kenya']       |    ['historical population', 'census']    |
|             \             |      ['european tourism', 'Portugal']      |     ['depression', 'early childhood']     |
|             \             |     ['another subspecies', 'Thailand']     |             ['mine', 'Poland']            |
|             \             |      ['catholic seminary', 'Karachi']      |       ['ancient theater', 'Athens']       |
|             \             | ['majority voting', 'practice thereafter'] |        ['admiral', 'service twice']       |
+---------------------------+--------------------------------------------+-------------------------------------------+
==================================================
Relation: P159_headquarters_location
Prompts:
- 1.0000 The headquarter of <ENT0> is in <ENT1> .
Harvested Tuples:
+-----------------------------------------------------+------------------------------+-------------------------------------------+
|                     Seed samples                    |        Ours (Top 20)         | Ours (Random samples over top 200 tuples) |
+-----------------------------------------------------+------------------------------+-------------------------------------------+
| ['Indian Space Research Organisation', 'Bangalore'] | ['department', 'Hyderabad']  |        ['Botswana', 'Johannesburg']       |
|    ['Liquor Control Board of Ontario', 'Toronto']   |  ['department', 'Lucknow']   |            ['district', 'Kota']           |
|            ['Telehouse Europe', 'London']           |    ['bank', 'Hyderabad']     |            ['Gujarat', 'Jammu']           |
|       ['University of Kentucky', 'Lexington']       |    ['division', 'Dhaka']     |         ['organization', 'Mumbai']        |
|          ['Fraser Institute', 'Vancouver']          |  ['division', 'Hyderabad']   |   ['Voivodeship', 'Kraków Voivodeship']   |
|                          \                          | ['union councils', 'Sharif'] |             ['mine', 'India']             |
|                          \                          | ['department', 'Bangalore']  |           ['department', 'Pune']          |
|                          \                          |   ['division', 'Kolkata']    |              ['land', 'town']             |
|                          \                          |     ['bank', 'Kolkata']      |        ['organization', 'Chennai']        |
|                          \                          |  ['department', 'Kolkata']   |             ['canton', 'town']            |
|                          \                          |   ['division', 'Karachi']    |         ['municipality', 'Nagar']         |
|                          \                          |    ['department', 'Pune']    |         ['division', 'Hyderabad']         |
|                          \                          |     ['bank', 'Lucknow']      |          ['company', 'Bangalore']         |
|                          \                          |       ['bank', 'Goa']        |            ['union', 'Karachi']           |
|                          \                          |       ['bank', 'Pune']       |            ['council', 'Dhaka']           |
|                          \                          |   ['division', 'Lucknow']    |             ['Sahara', 'Kota']            |
|                          \                          | ['union council', 'Sharif']  |          ['Maharashtra', 'Kota']          |
|                          \                          |   ['company', 'Hyderabad']   |          ['commune', 'Victoria']          |
|                          \                          |     ['district', 'Una']      |           ['diocese', 'Mysore']           |
|                          \                          |    ['company', 'Mumbai']     |         ['arrondissement', 'Lyon']        |
+-----------------------------------------------------+------------------------------+-------------------------------------------+
==================================================
Relation: P36_capital
Prompts:
- 1.0000 The capital of <ENT0> is <ENT1> .
Harvested Tuples:
+-----------------------------------+-----------------------------------+-------------------------------------------+
|            Seed samples           |           Ours (Top 20)           | Ours (Random samples over top 200 tuples) |
+-----------------------------------+-----------------------------------+-------------------------------------------+
| ['Onslow County', 'Jacksonville'] |    ['Southern Sweden', 'Malmö']   |          ['Uzbekistan', 'Moscow']         |
|     ['Bates County', 'Butler']    | ['Southern Sweden', 'Gothenburg'] |             ['Sudan', 'Solo']             |
|   ['Kingdom of France', 'Paris']  |   ['Central Mexico', 'Veracruz']  |        ['Northern Angola', 'Male']        |
|    ['Czechoslovakia', 'Prague']   |       ['Azerbaijan', 'Baku']      |          ['March', 'called metz']         |
|  ['Guernsey County', 'Cambridge'] |      ['Bangladesh', 'Dhaka']      |          ['East Punjab', 'Delhi']         |
|                 \                 |       ['Georgia', 'Tbilisi']      |        ['Madagascar', 'Alexandra']        |
|                 \                 |      ['Afghanistan', 'Kabul']     |         ['Saskatchewan', 'Regina']        |
|                 \                 |       ['Algeria', 'Algiers']      |            ['Kosovo', 'Sofia']            |
|                 \                 |      ['Zambia', 'Salisbury']      |           ['West Timor', 'Oro']           |
|                 \                 |      ['Pakistan', 'Karachi']      |          ['Ethiopia', 'Tripoli']          |
|                 \                 |        ['China', 'Beijing']       |           ['Myanmar', 'London']           |
|                 \                 |       ['Pakistan', 'Lahore']      |          ['Kerala', 'Bangalore']          |
|                 \                 |     ['department', 'El Valle']    |           ['Cameroon', 'Hassan']          |
|                 \                 |    ['Benin', 'located within']    |        ['Chinese Taiwan', 'Taipei']       |
|                 \                 |   ['Western Scotland', 'Perth']   |          ['Tajikistan', 'Kabul']          |
|                 \                 |      ['Tajikistan', 'Kabul']      |           ['Lebanon', 'Tripoli']          |
|                 \                 |    ['northern syria', 'Split']    |            ['Haryana', 'Jammu']           |
|                 \                 |    ['Northern Myanmar', 'Min']    |           ['Europe', 'Brussels']          |
|                 \                 |    ['department', 'El Puerto']    |        ['Northwest India', 'Delhi']       |
|                 \                 |         ['Iran', 'Tehran']        |      ['southern croatia', 'Sarajevo']     |
+-----------------------------------+-----------------------------------+-------------------------------------------+
==================================================
Relation: P740_location_of_formation
Prompts:
- 1.0000 <ENT0> was founded in <ENT1> .
Harvested Tuples:
+-----------------------------+---------------------------------------------------+-------------------------------------------+
|         Seed samples        |                   Ours (Top 20)                   | Ours (Random samples over top 200 tuples) |
+-----------------------------+---------------------------------------------------+-------------------------------------------+
|  ['Bee Gees', 'Manchester'] |               ['la vista', 'Madrid']              |          ['de roma', 'Portugal']          |
|   ['Filippa K', 'Sweden']   |               ['de wien', 'Utrecht']              |           ['society', 'London']           |
|  ['Beat Circus', 'Boston']  |             ['la grande', 'Toulouse']             |            ['city', 'Ukraine']            |
|   ['Alfaguara', 'Madrid']   |           ['modern spelling', 'English']          |         ['de oliveira', 'Lisbon']         |
| ['The Qemists', 'Brighton'] |               ['la rosa', 'Madrid']               |         ['press verlag', 'Bergen']        |
|              \              |               ['de jong', 'Utrecht']              |             ['school', 'Govt']            |
|              \              |              ['la rosa', 'Valencia']              |         ['rock culture', 'Europe']        |
|              \              |              ['da vinci', 'Florence']             |              ['park', 'June']             |
|              \              |               ['da vinci', 'Venice']              |           ['township', 'approx']          |
|              \              | ['another congregation', 'Philadelphia District'] |          ['jakarta', 'Java Era']          |
|              \              |          ['national anthem', 'Macedonia']         |   ['national tournament', 'Azerbaijan']   |
|              \              |              ['da vista', 'Portugal']             |            ['commune', 'Chad']            |
|              \              |              ['da terra', 'Portugal']             |           ['software', 'Japan']           |
|              \              |             ['united labor', 'Boston']            |    ['national headquarters', 'Beijing']   |
|              \              |               ['le bel', 'Toulouse']              |           ['da terra', 'Lisbon']          |
|              \              |             ['media gmbh', 'Tallinn']             |            ['museum', 'Tirana']           |
|              \              |              ['la mode', 'Toulouse']              |      ['national library', 'Budapest']     |
|              \              |           ['freedom struggle', 'Bengal']          |           ['membership', 'May']           |
|              \              |               ['da terra', 'Lisbon']              |            ['today', 'Moscow']            |
|              \              |            ['united slovakia', 'Lviv']            |      ['northern thailand', 'Bc Iii']      |
+-----------------------------+---------------------------------------------------+-------------------------------------------+
==================================================
Relation: P361_part_of
Prompts:
- 1.0000 <ENT0> is part of <ENT1> .
Harvested Tuples:
+-------------------------------------+-------------------------------------------------------------+-------------------------------------------------------------+
|             Seed samples            |                        Ours (Top 20)                        |          Ours (Random samples over top 200 tuples)          |
+-------------------------------------+-------------------------------------------------------------+-------------------------------------------------------------+
|   ['aquarium filter', 'aquarium']   |           ['economic success', 'Economic Growth']           |                     ['town', 'district']                    |
|   ['Northern Crusades', 'Crusade']  |        ['economic transformation', 'economic growth']       |                   ['east', 'Mississippi']                   |
|      ['North America', 'Earth']     | ['economic sustainability', 'environmental sustainability'] |                     ['today', 'Vienna']                     |
|    ['Northern Range', 'Trinidad']   |                 ['white wine', 'Champagne']                 |                    ['may fly', 'larvae']                    |
| ['Post Office Protocol 3', 'email'] |                  ['red wine', 'tradition']                  |           ['economic success', 'Economic Growth']           |
|                  \                  |                    ['le grand', 'Paris']                    |                     ['una', 'Portugal']                     |
|                  \                  |                ['heavy wear', 'body weight']                |                 ['winter weather', 'season']                |
|                  \                  |                   ['red wine', 'cuisine']                   |                     ['east', 'Delaware']                    |
|                  \                  |                 ['white wine', 'production']                |                    ['north', 'Wisconsin']                   |
|                  \                  |   ['economic sustainability', 'sustainability management']  |                    ['data', 'statistics']                   |
|                  \                  |                 ['la grande', 'Versailles']                 |              ['democracy', 'human development']             |
|                  \                  |                  ['le grand', 'Versailles']                 |                      ['saga', 'Norway']                     |
|                  \                  |                  ['la grande', 'Brittany']                  | ['economic sustainability', 'environmental sustainability'] |
|                  \                  |            ['heavy weight', 'Physical Training']            |                 ['winter weather', 'summer']                |
|                  \                  |                  ['la grande', 'Provence']                  |              ['enterprise', 'Business Process']             |
|                  \                  |                 ['freedom', 'human dignity']                |                     ['town', 'Pakistan']                    |
|                  \                  |             ['heavy weight', 'physical fitness']            |                     ['east', 'Georgia']                     |
|                  \                  |            ['heavy weight', 'Physical Activity']            |                     ['earth', 'Heaven']                     |
|                  \                  |            ['urban transportation', 'economics']            |                ['agriculture', 'development']               |
|                  \                  |           ['urban transportation', 'development']           |                    ['village', 'Serbia']                    |
+-------------------------------------+-------------------------------------------------------------+-------------------------------------------------------------+
==================================================
