Relation: somebody_do_something_at
Prompts:
- 1.0000 <ENT0> can <ENT1> in <ENT2> .
Harvested Tuples:
+-------------------------------------+------------------------------------------------------+----------------------------------------------+
|             Seed samples            |                    Ours (Top 20)                     |  Ours (Random samples over top 200 tuples)   |
+-------------------------------------+------------------------------------------------------+----------------------------------------------+
|    ['people', 'work out', 'gym']    |  ['political philosophy', 'take part', 'politics']   | ['similar reactions', 'proceed', 'solution'] |
|        ['bird', 'fly', 'sky']       |  ['multiple factors', 'contribute', 'development']   |     ['modern weapons', 'fire', 'bursts']     |
|  ['student', 'study', 'classroom']  |          ['points', 'count', 'total score']          |    ['heavy weight', 'resulted', 'damage']    |
|     ['player', 'play', 'ground']    |  ['political philosophy', 'take part', 'research']   | ['rifles', 'carry ammunition', 'magazines']  |
| ['sodier', 'fight', 'battleground'] |         ['points', 'count', 'total points']          |       ['wings', 'fold', 'large folds']       |
|                  \                  | ['several elements', 'interact', 'single molecules'] |        ['things', 'happen', 'dreams']        |
|                  \                  |             ['people', 'live', 'peace']              |        ['others', 'grow', 'quantity']        |
|                  \                  |          ['every voter', 'respond', 'kind']          |   ['bank', 'pay interest', 'cash deposit']   |
|                  \                  |         ['every voter', 'choose', 'general']         |      ['black spots', 'present', 'male']      |
|                  \                  |  ['different factors', 'contribute', 'development']  |          ['dogs', 'swim', 'water']           |
|                  \                  |             ['people', 'live', 'cities']             |    ['players', 'compete', 'tournaments']     |
|                  \                  |        ['metal blades', 'cut holes', 'wood']         |         ['birds', 'nest', 'bushes']          |
|                  \                  |        ['every voter', 'respond', 'writing']         |        ['good news', 'wait', 'vain']         |
|                  \                  |    ['different factors', 'contribute', 'health']     |   ['sometimes eggs', 'hatch', 'September']   |
|                  \                  |           ['adults', 'breed', 'captivity']           |      ['good minds', 'think', 'harmony']      |
|                  \                  |        ['human health', 'improve', 'nature']         |         ['things', 'fall', 'place']          |
|                  \                  |            ['good news', 'wait', 'vain']             |   ['basic training', 'commence', 'August']   |
|                  \                  |            ['people', 'live', 'harmony']             |          ['games', 'end', 'draws']           |
|                  \                  |        ['every voter', 'choose', 'principle']        |     ['animals', 'survive', 'freshwater']     |
|                  \                  |        ['basic training', 'commence', 'June']        |   ['another team', 'qualify', 'addition']    |
+-------------------------------------+------------------------------------------------------+----------------------------------------------+
==================================================
Relation: prevent
Prompts:
- 1.0000 <ENT0> prevents <ENT1> .
Harvested Tuples:
+---------------------------------+--------------------------------------------------+--------------------------------------------------+
|           Seed samples          |                  Ours (Top 20)                   |    Ours (Random samples over top 200 tuples)     |
+---------------------------------+--------------------------------------------------+--------------------------------------------------+
|        ['mask', 'virus']        | ['chemical treatment', 'spontaneous combustion'] |       ['evidence', 'criminal convictions']       |
|     ['exercise', 'disease']     |         ['using words', 'verbal abuse']          |           ['testing', 'false starts']            |
| ['study hard', 'fail the exam'] |         ['chemical warfare', 'genocide']         |            ['logic', 'random events']            |
|      ['reading', 'stupid']      |          ['physical trauma', 'healing']          |              ['thus', 'infection']               |
|   ['insurance', 'bankruptcy']   |       ['natural selection', 'adaptation']        |           ['soft wear', 'scratching']            |
|                \                |               ['luck', 'bad luck']               |       ['chemical protection', 'exposure']        |
|                \                |        ['biological warfare', 'genocide']        | ['mathematical stability', 'Extreme Situations'] |
|                \                |       ['chemical protection', 'exposure']        |                ['help', 'crime']                 |
|                \                |        ['organic acids', 'decomposition']        |                ['art', 'disease']                |
|                \                |         ['physical trauma', 'survival']          |              ['radar', 'air raids']              |
|                \                |        ['islam', 'religious persecution']        |               ['religion', 'war']                |
|                \                |          ['nuclear weapons', 'warfare']          |        ['physical weakness', 'recovery']         |
|                \                |        ['education', 'social inequality']        |     ['general treatment', 'severe symptoms']     |
|                \                |        ['mechanical stress', 'cracking']         |              ['often', 'bleeding']               |
|                \                |       ['mechanical ventilation', 'fires']        |      ['simple injection', 'complications']       |
|                \                |    ['environmental factors', 'transmission']     |          ['education', 'Child Labour']           |
|                \                |      ['mechanical resistance', 'vibration']      |            ['blood', 'brain tumors']             |
|                \                |        ['mechanical stress', 'fracture']         |          ['wine', 'alcohol poisoning']           |
|                \                |         ['natural ventilation', 'fires']         |               ['cancer', 'growth']               |
|                \                |        ['religion', 'religious freedom']         |        ['human immunity', 'transmission']        |
+---------------------------------+--------------------------------------------------+--------------------------------------------------+
==================================================
Relation: help
Prompts:
- 1.0000 <ENT0> can help <ENT1> .
Harvested Tuples:
+-------------------------------------+----------------------------------------+-------------------------------------------+
|             Seed samples            |             Ours (Top 20)              | Ours (Random samples over top 200 tuples) |
+-------------------------------------+----------------------------------------+-------------------------------------------+
|        ['doctor', 'patient']        |        ['fire', 'heal wounds']         |    ['technology', 'improve efficiency']   |
|        ['teacher', 'student']       |        ['blood', 'heal wounds']        |             ['mom', 'anyway']             |
|     ['housekeeper', 'housewife']    | ['technology', 'improve productivity'] |             ['god', 'people']             |
| ['teaching assistant', 'professor'] |         ['pain', 'cause pain']         |        ['autumn', 'produce pollen']       |
|         ['police', 'victim']        |  ['technology', 'improve efficiency']  |          ['maybe emma', 'Daddy']          |
|                  \                  | ['technology', 'improve performance']  |          ['fire', 'heal wounds']          |
|                  \                  |     ['police', 'arrest suspects']      |             ['love', 'humans']            |
|                  \                  |       ['trust', 'create trust']        |              ['men', 'thee']              |
|                  \                  |     ['congress', 'create policy']      |        ['hands', 'Make Decisions']        |
|                  \                  |     ['age', 'develop confidence']      |        ['hopefully emma', 'Daddy']        |
|                  \                  |  ['thus society', 'society flourish']  |     ['trust', 'create relationships']     |
|                  \                  |      ['sometimes money', 'life']       |         ['society', 'individuals']        |
|                  \                  |         ['perhaps ye', 'mine']         |            ['claire', 'today']            |
|                  \                  |    ['sometimes volunteers', 'pay']     |              ['mary', 'thee']             |
|                  \                  |       ['pain', 'cause symptoms']       |     ['states', 'Define Relationships']    |
|                  \                  |   ['trust', 'create relationships']    |           ['jessie', 'tonight']           |
|                  \                  |        ['blood', 'save lives']         |    ['plus matt', 'camouflage features']   |
|                  \                  |        ['perhaps ye', 'Jamie']         |      ['sandy', 'improve performance']     |
|                  \                  |         ['maybe emma', 'Mama']         |        ['states', 'define states']        |
|                  \                  |      ['well help', 'everywhere']       |             ['paul', 'today']             |
+-------------------------------------+----------------------------------------+-------------------------------------------+
==================================================
Relation: place_for
Prompts:
- 1.0000 <ENT0> is the place for <ENT1> .
Harvested Tuples:
+------------------------------------+-----------------------------------+-------------------------------------------+
|            Seed samples            |           Ours (Top 20)           | Ours (Random samples over top 200 tuples) |
+------------------------------------+-----------------------------------+-------------------------------------------+
|        ['gym', 'exercise']         |  ['el salvador', 'drinking wine'] |           ['today', 'children']           |
|       ['classroom', 'study']       |     ['ever since', 'visitors']    |        ['university', 'education']        |
|         ['office', 'work']         |        ['every day', 'joy']       |      ['festival', 'cultural events']      |
| ['hosipital', 'medical treatment'] |    ['high schools', 'studies']    |  ['modern england', 'Norwegian Speakers'] |
|        ['mart', 'shopping']        |  ['central africa', 'migration']  |     ['seminary', 'teaching theology']     |
|                 \                  |     ['paradise', 'good luck']     |           ['college', 'picnic']           |
|                 \                  | ['central africa', 'integration'] |         ['inside', 'making wine']         |
|                 \                  |          ['home', 'love']         |         ['high noon', 'surprises']        |
|                 \                  |   ['central india', 'migration']  |             ['home', 'people']            |
|                 \                  |    ['library', 'reading books']   |             ['heaven', 'love']            |
|                 \                  | ['hospital', 'medical treatment'] |            ['inside', 'prayer']           |
|                 \                  |    ['every corner', 'trouble']    |     ['therefore vietnam', 'refugees']     |
|                 \                  |      ['maybe hell', 'ghosts']     |        ['central africa', 'trade']        |
|                 \                  |    ['central africa', 'trade']    |      ['institute', 'studying abroad']     |
|                 \                  |     ['high noon', 'surprises']    |  ['architecture', 'artistic expression']  |
|                 \                  |          ['home', 'life']         |        ['thus jerusalem', 'kings']        |
|                 \                  |       ['home', 'happiness']       |         ['money', 'taking risks']         |
|                 \                  |    ['thus jerusalem', 'kings']    |       ['justice', 'human suffering']      |
|                 \                  |     ['nature', 'human beings']    |         ['thus earth', 'mankind']         |
|                 \                  |      ['soon enough', 'lies']      |            ['time', 'thinking']           |
+------------------------------------+-----------------------------------+-------------------------------------------+
==================================================
Relation: antonym
Prompts:
- 1.0000 <ENT0> is the opposite of <ENT1> .
Harvested Tuples:
+--------------------+-----------------------------------------------------+---------------------------------------------+
|    Seed samples    |                    Ours (Top 20)                    |  Ours (Random samples over top 200 tuples)  |
+--------------------+-----------------------------------------------------+---------------------------------------------+
|  ['fat', 'thin']   |        ['human sacrifice', 'killing people']        |      ['perfect pitch', 'Perfect Tone']      |
|  ['happy', 'sad']  |   ['financial reporting', 'Financial Accounting']   |     ['social responsibility', 'ethics']     |
| ['north', 'south'] |           ['using numbers', 'using words']          |    ['mechanical pressure', 'temperature']   |
|  ['woman', 'man']  |          ['using numbers', 'using letters']         |               ['love', 'hate']              |
|  ['pass', 'fail']  |                ['soft tissue', 'fat']               |           ['happiness', 'sadness']          |
|         \          |               ['soft tissue', 'bone']               |      ['depression', 'positive affect']      |
|         \          |              ['hard liquor', 'alcohol']             |    ['human sacrifice', 'killing people']    |
|         \          |              ['soft tissue', 'muscle']              |      ['physical attraction', 'emotion']     |
|         \          |             ['social status', 'wealth']             |     ['random noise', 'Noise Pollution']     |
|         \          |     ['classical analysis', 'Classical Geometry']    |         ['cold weather', 'freezing']        |
|         \          |               ['hard liquor', 'wine']               |        ['pure consciousness', 'mind']       |
|         \          |               ['soft tissue', 'skin']               |       ['strong strength', 'weakness']       |
|         \          |              ['poker', 'playing poker']             |               ['love', 'evil']              |
|         \          | ['classical conditioning', 'conditioning behavior'] |       ['copyright', 'legal copyright']      |
|         \          |     ['modern medicine', 'traditional medicine']     |           ['hope', 'feeling sad']           |
|         \          |    ['conservative theology', 'liberal theology']    |       ['economic welfare', 'utility']       |
|         \          |           ['low temperature', 'freezing']           |      ['free substitution', 'mutation']      |
|         \          |        ['political participation', 'voting']        | ['process switching', 'switching machines'] |
|         \          |        ['intelligence', 'human intelligence']       |         ['visual vision', 'hearing']        |
|         \          |            ['high visibility', 'privacy']           |       ['clear visibility', 'darkness']      |
+--------------------+-----------------------------------------------------+---------------------------------------------+
==================================================
Relation: separated_by_the_ocean
Prompts:
- 1.0000 <ENT1> and <ENT0> are separated by the ocean .
Harvested Tuples:
+-------------------------------------+--------------------------------------------+-------------------------------------------+
|             Seed samples            |               Ours (Top 20)                | Ours (Random samples over top 200 tuples) |
+-------------------------------------+--------------------------------------------+-------------------------------------------+
|          ['China', 'Japan']         |  ['southern portion', 'northern portion']  |            ['Iraq', 'bahrain']            |
|     ['Australia', 'New Zealand']    | ['southern portions', 'northern portions'] |        ['Australia', 'antarctica']        |
| ['United Kingdom', 'the Continent'] | ['southern portions', 'northern portion']  |           ['back', 'front side']          |
|       ['United State', 'Cuba']      |  ['southern portions', 'northern parts']   |          ['Argentina', 'bolivia']         |
|         ['Spain', 'Morocco']        |    ['Central Plains', 'coastal plains']    |           ['English', 'russian']          |
|                  \                  |        ['nature', 'human society']         |          ['mountains', 'rivers']          |
|                  \                  |  ['southern regions', 'northern regions']  |              ['Blue', 'red']              |
|                  \                  |        ['black wood', 'white wood']        |            ['Hell', 'paradise']           |
|                  \                  |      ['western side', 'eastern side']      |    ['French Towns', 'french villages']    |
|                  \                  |     ['western sides', 'eastern side']      |              ['Moon', 'star']             |
|                  \                  |          ['space', 'time travel']          |           ['Pacific', 'arctic']           |
|                  \                  |       ['two villages', 'two towns']        |        ['home turf', 'away ground']       |
|                  \                  |           ['gold', 'silver ore']           |          ['London', 'cambridge']          |
|                  \                  |             ['Earth', 'mars']              |         ['Argentina', 'paraguay']         |
|                  \                  |  ['western sections', 'eastern sections']  |               ['sea', 'air']              |
|                  \                  |       ['two villages', 'two cities']       |               ['God', 'man']              |
|                  \                  |  ['western sections', 'eastern section']   |       ['area', 'population density']      |
|                  \                  |           ['America', 'europe']            |           ['reality', 'fiction']          |
|                  \                  |      ['two worlds', 'darkness falls']      |              ['Earth', 'sky']             |
|                  \                  |     ['inner valleys', 'outer valleys']     |            ['Europe', 'africa']           |
+-------------------------------------+--------------------------------------------+-------------------------------------------+
==================================================
Relation: representative_figure
Prompts:
- 1.0000 <ENT0> is the representative figure of <ENT1> .
Harvested Tuples:
+------------------------------------+-------------------------------------------+-------------------------------------------+
|            Seed samples            |               Ours (Top 20)               | Ours (Random samples over top 200 tuples) |
+------------------------------------+-------------------------------------------+-------------------------------------------+
|   ['Lionel Messi', 'Barcelona']    |     ['urban space', 'urban planning']     |          ['christ', 'salvation']          |
|      ['Steven Jobs', 'Apple']      |       ['lakshmi', 'Goddess Lakshmi']      |       ['solar system', 'astronomy']       |
| ['Nelson Mandela', 'South Africa'] |    ['urban space', 'spatial planning']    |        ['big tree', 'forest trees']       |
| ['Taylor Swift', 'country music']  |    ['modern technology', 'innovation']    |           ['art', 'creativity']           |
|       ['2Pac', 'pop music']        |    ['sun worship', 'Religious Belief']    |     ['modern democracy', 'government']    |
|                 \                  |   ['modern technology', 'modernization']  |             ['david', 'women']            |
|                 \                  |     ['modern technology', 'progress']     |         ['rose', 'Female Figure']         |
|                 \                  | ['later generations', 'education reform'] |            ['harald', 'Norway']           |
|                 \                  |        ['lakshmi', 'Goddess Kali']        |       ['classical style', 'design']       |
|                 \                  |   ['christian theology', 'Catholicism']   |         ['ship', 'sea transport']         |
|                 \                  |    ['classical philosophy', 'theology']   |           ['la mode', 'harmony']          |
|                 \                  |        ['old lady', 'village folk']       |            ['thus', 'Buddhism']           |
|                 \                  |       ['modern feminism', 'change']       |          ['george', 'Britannia']          |
|                 \                  |    ['classical realism', 'literature']    |           ['hermann', 'Germany']          |
|                 \                  |      ['grand marshal', 'government']      |         ['ray', 'Human Sexuality']        |
|                 \                  |        ['death', 'human suffering']       |             ['joseph', 'God']             |
|                 \                  |       ['grand marshal', 'president']      |          ['flora', 'vegetation']          |
|                 \                  |          ['every word', 'truth']          |             ['albert', 'men']             |
|                 \                  |     ['modern democracy', 'government']    |             ['today', 'Italy']            |
|                 \                  |         ['old person', 'old age']         |            ['henry', 'France']            |
+------------------------------------+-------------------------------------------+-------------------------------------------+
==================================================
Relation: ingredient_for
Prompts:
- 1.0000 <ENT0> is an ingredient for <ENT1> .
Harvested Tuples:
+-------------------------------+-------------------------------------------+-------------------------------------------+
|          Seed samples         |               Ours (Top 20)               | Ours (Random samples over top 200 tuples) |
+-------------------------------+-------------------------------------------+-------------------------------------------+
|       ['flour', 'cake']       |         ['sex', 'human sexuality']        |     ['brick', 'building construction']    |
|     ['beef', 'hamburger']     |        ['egg whites', 'egg rolls']        | ['organic nitrogen', 'organic synthesis'] |
|       ['potato', 'chip']      |        ['egg whites', 'egg paste']        |         ['passion', 'good living']        |
|     ['fried rice', 'rice']    |        ['dry cleaning', 'laundry']        |         ['liver', 'kidney stones']        |
| ['stargazer pie', 'pilchard'] |      ['violence', 'sexual violence']      |           ['coffee', 'cooking']           |
|               \               |          ['brown ale', 'brewing']         |          ['red dye', 'textiles']          |
|               \               |          ['brown ale', 'whiskey']         |              ['fish', 'soup']             |
|               \               |          ['iron ore', 'charcoal']         |         ['cream cake', 'dessert']         |
|               \               | ['organic nitrogen', 'organic synthesis'] |        ['brown paper', 'packaging']       |
|               \               |          ['pride', 'good deeds']          |             ['water', 'food']             |
|               \               |   ['hard liquor', 'alcoholic beverages']  |         ['space', 'visual design']        |
|               \               |        ['white liquor', 'whiskey']        |          ['time', 'every story']          |
|               \               |        ['black liquor', 'whiskey']        |      ['cold weather', 'winter foods']     |
|               \               |        ['dry cleaning', 'clothing']       |            ['sugar', 'baking']            |
|               \               |          ['cream soda', 'vodka']          |        ['white liquor', 'whiskey']        |
|               \               |         ['rock jam', 'rock candy']        |        ['natural quartz', 'glass']        |
|               \               |        ['iron phosphate', 'cement']       |         ['white clay', 'painting']        |
|               \               |         ['white pine', 'charcoal']        |            ['pure fat', 'milk']           |
|               \               |     ['cold weather', 'winter sports']     |           ['tobacco', 'smoking']          |
|               \               |           ['red dye', 'paints']           |        ['fine ale', 'table wines']        |
+-------------------------------+-------------------------------------------+-------------------------------------------+
==================================================
Relation: business
Prompts:
- 1.0000 <ENT0> sells <ENT1> .
Harvested Tuples:
+---------------------------+-----------------------------------------------+-------------------------------------------+
|        Seed samples       |                 Ours (Top 20)                 | Ours (Random samples over top 200 tuples) |
+---------------------------+-----------------------------------------------+-------------------------------------------+
|     ['Nissan', 'car']     |       ['every supermarket', 'chocolate']      |      ['another store', 'electronics']     |
|    ['Apple', 'laptop']    |      ['central offices', 'retail stores']     |    ['economic security', 'protection']    |
|      ['Shell', 'oil']     |       ['modern society', 'pornography']       |         ['later luke', 'version']         |
|     ['Nvidia', 'GPU']     |        ['industrial use', 'less fuel']        |        ['robbie', 'stolen jewelry']       |
| ['McDonald', 'hamburger'] |  ['industrial security', 'Security Systems']  |           ['gary never', 'much']          |
|             \             |           ['another store', 'shoes']          |          ['kenneth', 'Pet Pets']          |
|             \             |             ['bill', 'cash flow']             |          ['adult shops', 'toys']          |
|             \             |        ['another store', 'electronics']       |     ['dominic', 'Private Properties']     |
|             \             |         ['modern television', 'less']         |      ['adult stores', 'pornography']      |
|             \             |    ['central storage', 'surplus materials']   |         ['every theater', 'seats']        |
|             \             | ['industrial security', 'Security Solutions'] |          ['kitty', 'Pet Treats']          |
|             \             |        ['steve', 'Digital Photography']       |        ['capital', 'cash reserves']       |
|             \             |   ['general retail', 'household appliances']  |           ['bicycle', 'locally']          |
|             \             |             ['rocky', 'Hard Rock']            |          ['madame de', 'France']          |
|             \             |              ['cat', 'Pets Shop']             |      ['clarence', 'Without Warning']      |
|             \             |        ['sarah', 'household supplies']        |          ['musician', 'guitars']          |
|             \             |          ['another seller', 'seeds']          |           ['rim', 'cigarettes']           |
|             \             |          ['another team', 'players']          |    ['milo', 'agricultural implements']    |
|             \             |           ['marina', 'Cruise Ships']          |     ['tiny size', 'large quantities']     |
|             \             |           ['little george', 'cakes']          |         ['john never', 'anymore']         |
+---------------------------+-----------------------------------------------+-------------------------------------------+
==================================================
Relation: featured_thing
Prompts:
- 1.0000 <ENT0> is a very <ENT1> <ENT2> .
Harvested Tuples:
+------------------------------------------+---------------------------------------------------------+---------------------------------------------------+
|               Seed samples               |                      Ours (Top 20)                      |     Ours (Random samples over top 200 tuples)     |
+------------------------------------------+---------------------------------------------------------+---------------------------------------------------+
|         ['egg', 'cheap', 'food']         |        ['iron phosphate', 'reactive', 'mineral']        |       ['soft tissue', 'sensitive', 'region']      |
|         ['boa', 'long', 'snake']         |           ['iron oxide', 'reactive', 'metal']           |              ['jack', 'rare', 'fish']             |
| ['Messi', 'skillful', 'football player'] |          ['human suffering', 'real', 'problem']         |          ['man', 'special', 'character']          |
|      ['Russia', 'large', 'country']      |        ['iron phosphate', 'reactive', 'compound']       |           ['nature', 'complex', 'world']          |
|      ['Amazon', 'rich', 'company']       |     ['chinese medicine', 'traditional', 'practice']     |             ['dad', 'nice', 'person']             |
|                    \                     |         ['iron phosphate', 'reactive', 'metal']         |      ['modern warfare', 'dynamic', 'system']      |
|                    \                     |    ['chinese medicine', 'traditional', 'profession']    |    ['chinese literature', 'prolific', 'genre']    |
|                    \                     |          ['yellow fever', 'severe', 'disease']          |            ['man', 'special', 'thing']            |
|                    \                     |           ['urban renewal', 'recent', 'trend']          | ['chinese medicine', 'traditional', 'profession'] |
|                    \                     |          ['iron phosphate', 'reactive', 'salt']         |         ['soft snow', 'wet', 'condition']         |
|                    \                     |        ['urban renewal', 'recent', 'development']       |  ['social inclusion', 'relevant', 'policy topic'] |
|                    \                     |         ['human survival', 'critical', 'issue']         |            ['summer', 'warm', 'season']           |
|                    \                     |          ['soft tissue', 'sensitive', 'organ']          |      ['human survival', 'critical', 'issue']      |
|                    \                     |           ['soft tissue', 'delicate', 'organ']          |            ['george', 'large', 'bird']            |
|                    \                     |      ['chinese medicine', 'traditional', 'science']     |  ['tropical rainforest', 'prevalent', 'example']  |
|                    \                     |          ['yellow fever', 'severe', 'illness']          |     ['human survival', 'critical', 'concern']     |
|                    \                     |     ['tropical rainforest', 'prevalent', 'habitat']     |      ['french jazz', 'influential', 'genre']      |
|                    \                     | ['economic sustainability', 'relevant', 'policy topic'] |           ['sleep', 'difficult', 'task']          |
|                    \                     |         ['human survival', 'critical', 'matter']        |       ['iron phosphate', 'reactive', 'salt']      |
|                    \                     |     ['social inclusion', 'relevant', 'policy topic']    |            ['john', 'good', 'student']            |
+------------------------------------------+---------------------------------------------------------+---------------------------------------------------+
==================================================
Relation: need_sth_to_do_sth
Prompts:
- 1.0000 <ENT0> needs <ENT1> to <ENT2> .
Harvested Tuples:
+------------------------------------------------+--------------------------------------------------------+-----------------------------------------------------------+
|                  Seed samples                  |                     Ours (Top 20)                      |         Ours (Random samples over top 200 tuples)         |
+------------------------------------------------+--------------------------------------------------------+-----------------------------------------------------------+
|       ['developer', 'computer', 'code']        |    ['magic', 'special techniques', 'perform magic']    |      ['magic', 'special techniques', 'perform magic']     |
|     ['people', 'social media', 'connect']      |    ['modern industry', 'ways', 'process materials']    |           ['future', 'remain unknown', 'others']          |
|            ['pig', 'food', 'grow']             |     ['violence', 'motivation', 'commit violence']      |        ['chance', 'means', 'overcome uncertainty']        |
|          ['people', 'money', 'live']           |   ['thus science', 'evolution', 'explain evolution']   |           ['priest', 'woman', 'perform rituals']          |
| ['intern', 'good performance', 'return offer'] |           ['every child', 'parents', 'care']           |           ['head', 'rest', 'prevent infection']           |
|                       \                        | ['congress', 'additional powers', 'regulate commerce'] | ['parliament', 'strong leadership', 'govern efficiently'] |
|                       \                        |    ['modern industry', 'ways', 'process chemicals']    |      ['modern industry', 'ways', 'process materials']     |
|                       \                        |        ['good thinking', 'practice', 'achieve']        |    ['hence science', 'evolution', 'explain evolution']    |
|                       \                        |  ['hence science', 'evolution', 'explain evolution']   |                ['art', 'freedom', 'exist']                |
|                       \                        |     ['government', 'better ways', 'handle issues']     |         ['brick', 'iron', 'strengthen structure']         |
|                       \                        |          ['like joe', 'milk', 'taste sweet']           |          ['success', 'according', 'social norms']         |
|                       \                        |        ['young women', 'education', 'progress']        |                 ['matt', 'space', 'grow']                 |
|                       \                        |      ['mercury', 'oxidation', 'produce mercury']       |                ['jake', 'help', 'survive']                |
|                       \                        |         ['link', 'connection', 'network node']         |                ['today', 'years', 'learn']                |
|                       \                        |         ['link', 'connection', 'network link']         |         ['another student', 'admission', 'lunch']         |
|                       \                        |       ['violence', 'motivation', 'commit crime']       |                ['life', 'meaning', 'give']                |
|                       \                        |        ['every child', 'education', 'graduate']        |       ['government', 'better ways', 'handle issues']      |
|                       \                        |          ['even poetry', 'language', 'write']          |                  ['john', 'room', 'move']                 |
|                       \                        |            ['blue', 'color', 'become blue']            |                  ['john', 'room', 'work']                 |
|                       \                        |         ['justice', 'means', 'attain justice']         |                ['dad', 'money', 'survive']                |
+------------------------------------------------+--------------------------------------------------------+-----------------------------------------------------------+
==================================================
Relation: can_but_not_good
Prompts:
- 1.0000 <ENT0> can <ENT1> but not good at .
Harvested Tuples:
+------------------------------------+---------------------------------+-------------------------------------------+
|            Seed samples            |          Ours (Top 20)          | Ours (Random samples over top 200 tuples) |
+------------------------------------+---------------------------------+-------------------------------------------+
|         ['chicken', 'fly']         |   ['things people', 'admire']   |          ['ways women', 'admire']         |
|          ['dog', 'swim']           | ['things humans', 'appreciate'] |           ['sounds ye', 'hear']           |
| ['long-distance runner', 'sprint'] |   ['things humans', 'control']  |          ['people', 'understand']         |
|         ['skater', 'ski']          |        ['great', 'play']        |        ['skills humans', 'master']        |
|      ['researcher', 'teach']       |         ['well', 'play']        |              ['bad', 'fight']             |
|                 \                  |         ['like', 'play']        |              ['much', 'use']              |
|                 \                  |         ['well', 'work']        |              ['cold', 'kill']             |
|                 \                  |   ['skills others', 'master']   |           ['thing sam', 'know']           |
|                 \                  |        ['really', 'play']       |              ['mom', 'talk']              |
|                 \                  |   ['skills humans', 'master']   |             ['really', 'read']            |
|                 \                  |       ['people', 'learn']       |             ['school', 'help']            |
|                 \                  | ['skills humans', 'appreciate'] |            ['people', 'learn']            |
|                 \                  | ['skills others', 'appreciate'] |           ['weapons ye', 'draw']          |
|                 \                  |      ['ways men', 'admire']     |       ['powers vampires', 'possess']      |
|                 \                  |        ['great', 'throw']       |             ['words', 'speak']            |
|                 \                  |        ['really', 'read']       |        ['things people', 'admire']        |
|                 \                  |         ['well', 'read']        |               ['man', 'see']              |
|                 \                  |        ['people', 'see']        |              ['still', 'hit']             |
|                 \                  |        ['still', 'play']        |           ['hands guys', 'hold']          |
|                 \                  |   ['skills others', 'admire']   |            ['pretty', 'handle']           |
+------------------------------------+---------------------------------+-------------------------------------------+
==================================================
Relation: worth_celebrating
Prompts:
- 1.0000 It’s worth celebrating for a <ENT0> to <ENT1> .
Harvested Tuples:
+---------------------------------+--------------------------------+-------------------------------------------+
|           Seed samples          |         Ours (Top 20)          | Ours (Random samples over top 200 tuples) |
+---------------------------------+--------------------------------+-------------------------------------------+
|         ['team', 'wim']         |        ['year', 'come']        |           ['family', 'consider']          |
|     ['student', 'pass exam']    |   ['hundred', 'fifty years']   |        ['minute alone', 'breathe']        |
| ['researcher', 'publish paper'] |      ['lifetime', 'come']      |        ['friend willing', 'listen']       |
|     ['people', 'earn money']    |        ['week', 'come']        |             ['lot', 'happen']             |
|    ['parents', 'get a baby']    |       ['month', 'come']        |          ['bit according', 'Dad']         |
|                \                |        ['day', 'come']         |         ['bit according', 'Mike']         |
|                \                |       ['reason', 'live']       |             ['place', 'crash']            |
|                \                |  ['cause vital', 'humanity']   |         ['close', 'term holiday']         |
|                \                |    ['time lost', 'history']    |            ['thing', 'happen']            |
|                \                |    ['reason', 'celebrate']     |          ['guy used', 'drinking']         |
|                \                |   ['little extra', 'spend']    |              ['right', 'die']             |
|                \                |    ['moment alone', 'talk']    |              ['week', 'see']              |
|                \                |   ['child raised', 'fight']    |       ['brain', 'function properly']      |
|                \                |       ['chance', 'live']       |   ['kid struggling', 'cope emotionally']  |
|                \                |  ['thousand', 'twenty years']  |           ['place safe', 'hide']          |
|                \                |    ['minute alone', 'talk']    |            ['vampire', 'exist']           |
|                \                | ['kid willing', 'fight crime'] |          ['bit according', 'Joe']         |
|                \                |  ['person wishing', 'retire']  |           ['month', 'remember']           |
|                \                |    ['guy used', 'drinking']    |             ['little', 'eat']             |
|                \                |    ['smile', 'show teeth']     |       ['weekend straight', 'Sunday']      |
+---------------------------------+--------------------------------+-------------------------------------------+
==================================================
Relation: potential_risk
Prompts:
- 1.0000 A potential risk of <ENT0> is <ENT1> .
Harvested Tuples:
+------------------------------------------+----------------------------------------+--------------------------------------------+
|               Seed samples               |             Ours (Top 20)              | Ours (Random samples over top 200 tuples)  |
+------------------------------------------+----------------------------------------+--------------------------------------------+
|    ['playing game', 'fail the exam']     |         ['infection', 'high']          |        ['gambling', 'alcohol use']         |
| ['sleep insufficiency', 'heart disease'] |        ['infection', 'unknown']        | ['recycling', 'environmental degradation'] |
|         ['candy', 'tooth decay']         |           ['death', 'high']            |         ['liability', 'included']          |
|        ['flight', 'plane crash']         |          ['suicide', 'high']           |         ['holding', 'held liable']         |
|       ['investment', 'lose money']       |  ['congestion', 'traffic congestion']  |          ['infection', 'unknown']          |
|                    \                     |           ['injury', 'high']           |     ['social interactions', 'stress']      |
|                    \                     |          ['death', 'unknown']          |       ['trafficking', 'increasing']        |
|                    \                     | ['social exclusion', 'discrimination'] |     ['contamination', 'considerable']      |
|                    \                     |     ['dental plaque', 'pneumonia']     |           ['travel', 'tourism']            |
|                    \                     |          ['infection', 'low']          |         ['exposure', 'mortality']          |
|                    \                     |          ['exposure', 'high']          |        ['assassination', 'minimal']        |
|                    \                     |       ['infection', 'mortality']       |        ['liability', 'substantial']        |
|                    \                     |      ['birth defect', 'maternal']      |             ['fire', 'flight']             |
|                    \                     |      ['trading', 'Risk Trading']       |  ['Capital Tax', 'raised significantly']   |
|                    \                     |     ['birth control', 'abortion']      |           ['escape', 'reduced']            |
|                    \                     |        ['exposure', 'unknown']         |        ['conversion', 'education']         |
|                    \                     |         ['injury', 'unknown']          |         ['poisoning', 'mortality']         |
|                    \                     |       ['exposure', 'mortality']        |       ['mass transit', 'transport']        |
|                    \                     |         ['suicide', 'unknown']         |          ['Head Wound', 'fatal']           |
|                    \                     |  ['future litigation', 'substantial']  |         ['tuberculosis', 'acute']          |
+------------------------------------------+----------------------------------------+--------------------------------------------+
==================================================
