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[ "Q417767", "P2175", "Q35869" ]
[ "Q3633651", "P2175", "Q35869" ]
[ "Q3633651", "P129", "Q22679015" ]
[ "montelukast", "medical condition treated", "asthma" ]
[ "bambuterol", "medical condition treated", "asthma" ]
[ "bambuterol", "physically interacts with", "butyrylcholinesterase" ]
Q35869__P2175
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting montelukast, a medication used to manage asthma, and a substance that physically interacts with butyrylcholinesterase?
montelukast
butyrylcholinesterase
physically interacts with
Query: What are different ways of connecting montelukast, a medication used to manage asthma, and a substance that physically interacts with butyrylcholinesterase? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela...
700
{"final_response": "<answer>\n{\n \"1\": [\n (\"montelukast\", \"treats\", \"asthma\"),\n (\"bambuterol\", \"treats\", \"asthma\"),\n (\"bambuterol\", \"physically interacts with\", \"butyrylcholinesterase\")\n ],\n \"2\": [\n (\"montelukast\", \"metabolized by\", \"CYP3A4\"),\n (\"donepezil\", \"meta...
[ "Q10272473", "P57", "Q7312520" ]
[ "Q10272473", "P57", "Q10366823" ]
[ "Q10366823", "P106", "Q488111" ]
[ "Emoções Sexuais de um Cavalo", "director", "Renalto Alves" ]
[ "Emoções Sexuais de um Cavalo", "director", "Sady Baby" ]
[ "Sady Baby", "occupation", "pornographic actor" ]
Q10272473__P57
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting "Emoções Sexuais de um Cavalo" and someone who is known for their work in the adult film industry?
Emoções Sexuais de um Cavalo
pornographic actor
occupation
Query: What are different ways of connecting "Emoções Sexuais de um Cavalo" and someone who is known for their work in the adult film industry? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form...
701
{"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Emo\u00e7\u00f5es Sexuais de um Cavalo\", \"genre\", \"pornographic film\"],\n [\"pornographic film\", \"has instance\", \"Deep Throat (film)\"],\n [\"Deep Throat (film)\", \"has cast member\", \"Linda Lovelace\"],\n [\"Linda Lovelace\", \"occupation...
[ "Q7684084", "P54", "Q213417" ]
[ "Q7851054", "P54", "Q213417" ]
[ "Q7851054", "P69", "Q1138384" ]
[ "Tanyon Sturtze", "member of sports team", "New York Yankees" ]
[ "Tucker Ashford", "member of sports team", "New York Yankees" ]
[ "Tucker Ashford", "educated at", "University of Mississippi" ]
Q213417__P54
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Tanyon Sturtze, the former professional baseball pitcher, and someone who was educated at the University of Mississippi?
Tanyon Sturtze
University of Mississippi
educated at
Query: What are different ways of connecting Tanyon Sturtze, the former professional baseball pitcher, and someone who was educated at the University of Mississippi? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, re...
702
{"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Tanyon Sturtze\", \"managed by\", \"Joe Torre\"],\n [\"Joe Torre\", \"managed\", \"David Dellucci\"],\n [\"David Dellucci\", \"educated at\", \"University of Mississippi\"]\n ],\n \"2\": [\n [\"Tanyon Sturtze\", \"played for\", \"Texas Rangers\"],\...
[ "Q1076942", "P54", "Q128109" ]
[ "Q2331852", "P54", "Q128109" ]
[ "Q2331852", "P27", "Q30" ]
[ "Chris Anstey", "member of sports team", "Chicago Bulls" ]
[ "Bob Hansen", "member of sports team", "Chicago Bulls" ]
[ "Bob Hansen", "country of citizenship", "United States of America" ]
Q128109__P54
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Chris Anstey, the Australian basketball player, and someone who is a citizen of the United States of America?
Chris Anstey
United States of America
country of citizenship
Query: What are different ways of connecting Chris Anstey, the Australian basketball player, and someone who is a citizen of the United States of America? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship,...
703
{"final_response": "<answer>\n{\n \"1\": [\n [\"Chris Anstey\", \"played for\", \"Dallas Mavericks\"],\n [\"Michael Finley\", \"played for\", \"Dallas Mavericks\"],\n [\"Michael Finley\", \"country of citizenship\", \"United States of America\"]\n ],\n \"2\": [\n [\"Chris Anstey\", \"played for\", \"Chic...
[ "Q309788", "P40", "Q2315802" ]
[ "Q176455", "P40", "Q2315802" ]
[ "Q176455", "P166", "Q1967719" ]
[ "Don Johnson", "child", "Dakota Johnson" ]
[ "Melanie Griffith", "child", "Dakota Johnson" ]
[ "Melanie Griffith", "award received", "National Society of Film Critics Award for Best Supporting Actress" ]
Q2315802__P40
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Don Johnson, the American actor, and someone who received the National Society of Film Critics Award for Best Supporting Actress?
Don Johnson
National Society of Film Critics Award for Best Supporting Actress
award received
Query: What are different ways of connecting Don Johnson, the American actor, and someone who received the National Society of Film Critics Award for Best Supporting Actress? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples ...
704
{"final_response": "```json\n{\n \"1\": [\n [\n \"Don Johnson\",\n \"spouse\",\n \"Melanie Griffith\"\n ],\n [\n \"Melanie Griffith\",\n \"award received\",\n \"National Society of Film Critics Award for Best Supporting Actress\"\n ]\n ],\n \"2\": [\n [\n \"Don Johns...
[ "Q1359151", "P39", "Q484876" ]
[ "Q380570", "P39", "Q484876" ]
[ "Q380570", "P69", "Q7690279" ]
[ "Lloyd Blankfein", "position held", "chief executive officer" ]
[ "Jon Corzine", "position held", "chief executive officer" ]
[ "Jon Corzine", "educated at", "Taylorville High School" ]
goldman_ceos__P39
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Lloyd Blankfein, the former CEO of Goldman Sachs, and someone who was educated at Taylorville High School?
Lloyd Blankfein
Taylorville High School
educated at
Query: What are different ways of connecting Lloyd Blankfein, the former CEO of Goldman Sachs, and someone who was educated at Taylorville High School? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ta...
705
{"final_response": "<answer>\n{\n \"1\": [\n [\"Lloyd Blankfein\", \"CEO of\", \"Goldman Sachs\"],\n [\"Jon Corzine\", \"CEO of\", \"Goldman Sachs\"],\n [\"Jon Corzine\", \"educated at\", \"Taylorville High School\"]\n ],\n \"2\": [\n [\"Lloyd Blankfein\", \"succeeded\", \"Henry Paulson\"],\n [\"Henry...
[ "Q5383", "P166", "Q935843" ]
[ "Q217787", "P166", "Q935843" ]
[ "Q217787", "P69", "Q1760438" ]
[ "David Bowie", "award received", "Grammy Lifetime Achievement Award" ]
[ "Carole King", "award received", "Grammy Lifetime Achievement Award" ]
[ "Carole King", "educated at", "Queens College" ]
Q935843__P166
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting David Bowie, the iconic musician, and someone who was educated at Queens College?
David Bowie
Queens College
educated at
Query: What are different ways of connecting David Bowie, the iconic musician, and someone who was educated at Queens College? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous ...
706
{"final_response": "<answer>\n{\n \"1\": [\n [\"David Bowie\", \"played instrument\", \"Moog synthesizer\"],\n [\"Moog synthesizer\", \"invented by\", \"Robert Moog\"],\n [\"Robert Moog\", \"educated at\", \"Queens College\"]\n ],\n \"2\": [\n [\"David Bowie\", \"performed at\", \"The Concert for New Yor...
[ "Q2875", "P161", "Q4280517" ]
[ "Q2875", "P161", "Q95068" ]
[ "Q95068", "P1038", "Q21664350" ]
[ "Gone with the Wind", "cast member", "Margaret Mann" ]
[ "Gone with the Wind", "cast member", "Olivia de Havilland" ]
[ "Olivia de Havilland", "relative", "Hereward de Havilland" ]
Q2875__P161
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Margaret Mann and someone who is a relative of Olivia de Havilland?
Margaret Mann
Hereward de Havilland
relative
Query: What are different ways of connecting Margaret Mann and someone who is a relative of Olivia de Havilland? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that beg...
707
{"final_response": "<answer>\n{\n \"1\": [\n [\"Margaret Mann\", \"acted in\", \"Gone with the Wind (film)\"],\n [\"Gone with the Wind (film)\", \"featured actor\", \"Olivia de Havilland\"],\n [\"Olivia de Havilland\", \"relative\", \"Hereward de Havilland\"]\n ],\n \"2\": [\n [\"Margaret Mann\", \"acted...
[ "Q18041957", "P2293", "Q11081" ]
[ "Q2745322", "P2293", "Q11081" ]
[ "Q2745322", "P5572", "Q66590413" ]
[ "LIMS2", "genetic association", "Alzheimer's disease" ]
[ "STK11", "genetic association", "Alzheimer's disease" ]
[ "STK11", "expressed in", "right hemisphere of cerebellum" ]
Q11081__P2293
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting LIMS2, a gene involved in various biological processes, and a substance that is expressed in the right hemisphere of the cerebellum?
LIMS2
right hemisphere of cerebellum
expressed in
Query: What are different ways of connecting LIMS2, a gene involved in various biological processes, and a substance that is expressed in the right hemisphere of the cerebellum? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl...
708
{"final_response": "<answer>\n{\n \"1\": [\n [\"LIMS2\", \"expressed in\", \"right hemisphere of cerebellum\"]\n ],\n \"2\": [\n [\"LIMS2\", \"encodes\", \"LIMS2 protein\"],\n [\"LIMS2 protein\", \"expressed in\", \"right hemisphere of cerebellum\"]\n ],\n \"3\": [\n [\"LIMS2\", \"interacts with\", \"I...
[ "Q10397511", "P58", "Q12059269" ]
[ "Q10397511", "P58", "Q12022908" ]
[ "Q12022908", "P166", "Q104708102" ]
[ "Whisper", "screenwriter", "Tomáš Mašín" ]
[ "Whisper", "screenwriter", "Jan Novák" ]
[ "Jan Novák", "award received", "\"Magnesia Litera\" award for the best book of the year" ]
Q10397511__P58
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Tomáš Mašín, a notable figure in literature, and someone who has received the "Magnesia Litera" award for the best book of the year?
Tomáš Mašín
"Magnesia Litera" award for the best book of the year
award received
Query: What are different ways of connecting Tomáš Mašín, a notable figure in literature, and someone who has received the "Magnesia Litera" award for the best book of the year? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl...
709
{"final_response": "```json\n{\n \"1\": [\n [\n \"Tom\u00e1\u0161 Ma\u0161\u00edn\",\n \"relative of\",\n \"Josef Ma\u0161\u00edn\"\n ],\n [\n \"Josef Ma\u0161\u00edn\",\n \"subject of\",\n \"Zat\u00edm dobr\u00fd\"\n ],\n [\n \"Zat\u00edm dobr\u00fd\",\n \"author...
[ "Q19591937", "P40", "Q1267" ]
[ "Q53300", "P40", "Q1267" ]
[ "Q53300", "P166", "Q38040410" ]
[ "Agnes Maria Carolina Almquist", "child", "Dag Hammarskjöld" ]
[ "Hjalmar Hammarskjöld", "child", "Dag Hammarskjöld" ]
[ "Hjalmar Hammarskjöld", "award received", "honorary doctor of the University of Uppsala" ]
Q1267__P40
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Agnes Maria Carolina Almquist and someone who has received an honorary doctorate from the University of Uppsala?
Agnes Maria Carolina Almquist
honorary doctor of the University of Uppsala
award received
Query: What are different ways of connecting Agnes Maria Carolina Almquist and someone who has received an honorary doctorate from the University of Uppsala? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh...
710
{"final_response": "```json\n{\n \"1\": [\n [\n \"Agnes Maria Carolina Almquist\",\n \"child\",\n \"Dag Hammarskj\u00f6ld\"\n ],\n [\n \"Dag Hammarskj\u00f6ld\",\n \"award received\",\n \"honorary doctor of the University of Uppsala\"\n ]\n ],\n \"2\": [\n [\n \"Agne...
[ "Q531814", "P54", "Q8682" ]
[ "Q367934", "P54", "Q8682" ]
[ "Q367934", "P413", "Q336286" ]
[ "Kaká", "member of sports team", "Real Madrid CF" ]
[ "José María Antón", "member of sports team", "Real Madrid CF" ]
[ "José María Antón", "position played on team / speciality", "defender" ]
Q8682__P54
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Kaká, the Brazilian footballer, and someone who played as a defender on a team?
Kaká
defender
position played on team / speciality
Query: What are different ways of connecting Kaká, the Brazilian footballer, and someone who played as a defender on a team? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous ch...
711
{"final_response": "<answer>\n{\n \"1\": [\n [\"Kak\u00e1\", \"brother\", \"Dig\u00e3o (footballer)\"],\n [\"Dig\u00e3o (footballer)\", \"position played on team / speciality\", \"defender\"]\n ],\n \"2\": [\n [\"Kak\u00e1\", \"teammate\", \"Paolo Maldini\"],\n [\"Paolo Maldini\", \"position played on te...
[ "Q63439", "P463", "Q11898" ]
[ "Q316528", "P463", "Q11898" ]
[ "Q316528", "P106", "Q36834" ]
[ "Alexander Hacke", "member of", "Einstürzende Neubauten" ]
[ "Blixa Bargeld", "member of", "Einstürzende Neubauten" ]
[ "Blixa Bargeld", "occupation", "composer" ]
Q11898__P463
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Alexander Hacke, a musician, and someone who is known for their work as a composer?
Alexander Hacke
composer
occupation
Query: What are different ways of connecting Alexander Hacke, a musician, and someone who is known for their work as a composer? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuou...
712
{"final_response": "<answer>\n{\n \"1\": [\n [\"Alexander Hacke\", \"occupation\", \"composer\"]\n ],\n \"2\": [\n [\"Alexander Hacke\", \"member of\", \"Einst\u00fcrzende Neubauten\"],\n [\"Einst\u00fcrzende Neubauten\", \"member\", \"Blixa Bargeld\"],\n [\"Blixa Bargeld\", \"occupation\", \"composer\"]...
[ "Q335038", "P166", "Q17144" ]
[ "Q6086016", "P166", "Q17144" ]
[ "Q6086016", "P19", "Q864024" ]
[ "Peter Carington, 6th Baron Carrington", "award received", "Presidential Medal of Freedom" ]
[ "Isolina Ferréro", "award received", "Presidential Medal of Freedom" ]
[ "Isolina Ferréro", "place of birth", "Ponce" ]
Q17144__P166
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Peter Carington, 6th Baron Carrington, and someone who was born in Ponce?
Peter Carington, 6th Baron Carrington
Ponce
place of birth
Query: What are different ways of connecting Peter Carington, 6th Baron Carrington, and someone who was born in Ponce? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain th...
713
{"final_response": "<answer>\n{\n \"1\": [\n [\n \"Peter Carington, 6th Baron Carrington\",\n \"worked with\",\n \"Ronald Reagan\"\n ],\n [\n \"Ronald Reagan\",\n \"awarded Presidential Medal of Freedom to\",\n \"Luis A. Ferr\u00e9\"\n ],\n [\n \"Luis A. Ferr\u00e9\",\...
[ "Q107315171", "P40", "Q1716" ]
[ "Q3351401", "P40", "Q1716" ]
[ "Q3351401", "P106", "Q4853732" ]
[ "Solange Mériaux/Séchan", "child", "Renaud" ]
[ "Olivier Séchan", "child", "Renaud" ]
[ "Olivier Séchan", "occupation", "children's writer" ]
Q1716__P40
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Solange Mériaux/Séchan, and someone who is known for being a children's writer?
Solange Mériaux/Séchan
children's writer
occupation
Query: What are different ways of connecting Solange Mériaux/Séchan, and someone who is known for being a children's writer? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous ch...
714
{"final_response": "<answer>\n{\n \"1\": [\n [\n \"Solange M\u00e9riaux/S\u00e9chan\",\n \"spouse\",\n \"Olivier S\u00e9chan\"\n ],\n [\n \"Olivier S\u00e9chan\",\n \"occupation\",\n \"children's writer\"\n ]\n ],\n \"2\": [\n [\n \"Solange M\u00e9riaux/S\u00e9chan\"...
[ "Q101091774", "P162", "Q28492396" ]
[ "Q101091774", "P162", "Q7482626" ]
[ "Q7482626", "P19", "Q1088792" ]
[ "The Man from Toronto", "producer", "Todd Black" ]
[ "The Man from Toronto", "producer", "Steve Tisch" ]
[ "Steve Tisch", "place of birth", "Lakewood Township" ]
Q101091774__P162
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Todd Black, a notable figure in the film industry, and someone who was born in Lakewood Township?
Todd Black
Lakewood Township
place of birth
Query: What are different ways of connecting Todd Black, a notable figure in the film industry, and someone who was born in Lakewood Township? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi...
715
{"final_response": "<answer>\n{\n \"1\": [\n [\"Todd Black\", \"co-founded\", \"Escape Artists\"],\n [\"Escape Artists\", \"co-founded by\", \"Steve Tisch\"],\n [\"Steve Tisch\", \"place of birth\", \"Lakewood Township\"]\n ],\n \"2\": [\n [\"Todd Black\", \"producer of\", \"The Pursuit of Happyness\"],\...
[ "Q770696", "P54", "Q131364" ]
[ "Q18685899", "P54", "Q131364" ]
[ "Q18685899", "P69", "Q17066323" ]
[ "Cazzie Russell", "member of sports team", "New York Knicks" ]
[ "Henry Ellenson", "member of sports team", "New York Knicks" ]
[ "Henry Ellenson", "educated at", "Rice Lake High School" ]
Q131364__P54
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Cazzie Russell, the former basketball player, and someone who was educated at Rice Lake High School?
Cazzie Russell
Rice Lake High School
educated at
Query: What are different ways of connecting Cazzie Russell, the former basketball player, and someone who was educated at Rice Lake High School? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo...
716
{"final_response": "<answer>\n{\n \"1\": [\n [\"Cazzie Russell\", \"played for\", \"New York Knicks\"],\n [\"New York Knicks\", \"employed\", \"Henry Ellenson\"],\n [\"Henry Ellenson\", \"educated at\", \"Rice Lake High School\"]\n ],\n \"2\": [\n [\"Cazzie Russell\", \"played in\", \"NBA\"],\n [\"NBA...
[ "Q10648", "P39", "Q14211" ]
[ "Q180589", "P39", "Q14211" ]
[ "Q180589", "P793", "Q87910176" ]
[ "Gordon Brown", "position held", "Prime Minister of the United Kingdom" ]
[ "Boris Johnson", "position held", "Prime Minister of the United Kingdom" ]
[ "Boris Johnson", "significant event", "COVID-19 pandemic in London" ]
Q14211__P39
false
Task: Generate a Natural Language Query. You will be given input in the following format: Concept A: entity1 Concept B: entity2 Concept C: (concept B, rel, entity3) Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess. You...
What are different ways of connecting Gordon Brown, the former Prime Minister of the UK, and someone for whom the COVID-19 pandemic in London was a significant event?
Gordon Brown
COVID-19 pandemic in London
significant event
Query: What are different ways of connecting Gordon Brown, the former Prime Minister of the UK, and someone for whom the COVID-19 pandemic in London was a significant event? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (...
717
{"final_response": "<answer>\n{\n \"1\": [\n [\n \"Gordon Brown\",\n \"appointed\",\n \"Sadiq Khan\"\n ],\n [\n \"Sadiq Khan\",\n \"significant event\",\n \"COVID-19 pandemic in London\"\n ]\n ],\n \"2\": [\n [\n \"Gordon Brown\",\n \"appointed by\",\n \"Qu...
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Dataset: connections-dev/connection_queries_jan12

This dataset was generated using the inference script with the following configuration:

Inference Parameters

Model Configuration

  • Model Name: gemini-3.1-pro-preview
  • Server URL: Not specified
  • API Key: Not provided
  • Request Timeout: 120 seconds

Query Configuration

  • Query Type: natural
  • Query Column: query
  • Sampling Type: original

Generation Parameters

  • Temperature: 0.7
  • Max Tokens: 16384
  • Number of Runs: 1
  • Chunk Size: Entire dataset
  • Effort Level: medium

Feature Flags

  • Step by Step Reasoning: False
  • Reasoning Enabled: False
  • No Curator: False
  • Index Filter: None (all samples)
  • Start Index: 700
  • End Index: 720

Data Information

  • Input File: connections-dev/connection_queries_jan12
  • Number of Samples: 20
  • Output Filename: connection_queries_jan12__natural__s700__e720__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl

Dataset Structure

The dataset contains the following key columns:

  • query: The original query
  • entity_a: Starting entity
  • entity_b: Target entity
  • rel_b: Target relationship
  • path_prediction: Generated connection paths
  • prompt_for_path: Prompts used for path generation

Usage

You can load this dataset using:

from datasets import load_dataset

dataset = load_dataset("s700_e720_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")

Generation Details

This dataset was generated on 2026-03-12 10:04:25 using the inference pipeline with the above configuration.

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