triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 10 16 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.31k | query stringlengths 102 174 | entity_a stringlengths 5 22 | entity_b stringlengths 4 46 | rel_b stringlengths 5 36 | prompt stringlengths 3.56k 3.67k | index int64 800 819 | raw_responses stringlengths 915 3.66k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q104054241",
"P57",
"Q2088028"
] | [
"Q104054241",
"P57",
"Q4497038"
] | [
"Q4497038",
"P136",
"Q83440"
] | [
"Prime Target",
"director",
"Phillip J. Roth"
] | [
"Prime Target",
"director",
"David Heavener"
] | [
"David Heavener",
"genre",
"country music"
] | Q104054241__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 Prime Target, a film, and someone who is associated with the country music genre? | Prime Target | country music | genre | Query: What are different ways of connecting Prime Target, a film, and someone who is associated with the country music genre?
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 ... | 800 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Prime Target\", \"cast member\", \"David Heavener\"],\n [\"David Heavener\", \"genre\", \"country music\"]\n ],\n \"2\": [\n [\"Prime Target\", \"director\", \"David Heavener\"],\n [\"David Heavener\", \"genre\", \"country music\"]\n ],\n \"3\": [\n [\... |
[
"Q172832",
"P54",
"Q173663"
] | [
"Q59209579",
"P54",
"Q173663"
] | [
"Q59209579",
"P27",
"Q17"
] | [
"David Coulthard",
"member of sports team",
"Red Bull Racing"
] | [
"Yuki Tsunoda",
"member of sports team",
"Red Bull Racing"
] | [
"Yuki Tsunoda",
"country of citizenship",
"Japan"
] | Q173663__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 David Coulthard, the former Formula One driver, and someone who is a citizen of Japan? | David Coulthard | Japan | country of citizenship | Query: What are different ways of connecting David Coulthard, the former Formula One driver, and someone who is a citizen of Japan?
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 contin... | 801 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"David Coulthard\",\n \"competed against\",\n \"Takuma Sato\"\n ],\n [\n \"Takuma Sato\",\n \"country of citizenship\",\n \"Japan\"\n ]\n ],\n \"2\": [\n [\n \"David Coulthard\",\n \"competed against\",\n \"... |
[
"Q218661",
"P39",
"Q192711"
] | [
"Q275146",
"P39",
"Q192711"
] | [
"Q275146",
"P69",
"Q2628297"
] | [
"Morarji Desai",
"position held",
"Prime Minister of India"
] | [
"P. V. Narasimha Rao",
"position held",
"Prime Minister of India"
] | [
"P. V. Narasimha Rao",
"educated at",
"Rashtrasant Tukadoji Maharaj Nagpur University"
] | Q192711__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 Morarji Desai, the former Prime Minister of India, and someone who was educated at Rashtrasant Tukadoji Maharaj Nagpur University? | Morarji Desai | Rashtrasant Tukadoji Maharaj Nagpur University | educated at | Query: What are different ways of connecting Morarji Desai, the former Prime Minister of India, and someone who was educated at Rashtrasant Tukadoji Maharaj Nagpur University?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples... | 802 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Morarji Desai\", \"held office\", \"Prime Minister of India\"],\n [\"P. V. Narasimha Rao\", \"held office\", \"Prime Minister of India\"],\n [\"P. V. Narasimha Rao\", \"educated at\", \"Rashtrasant Tukadoji Maharaj Nagpur University\"]\n ],\n \"2\": [\n [\"... |
[
"Q7409784",
"P54",
"Q190618"
] | [
"Q3703375",
"P54",
"Q190618"
] | [
"Q3703375",
"P19",
"Q511922"
] | [
"Sammy Knight",
"member of sports team",
"New York Giants"
] | [
"David Wilson",
"member of sports team",
"New York Giants"
] | [
"David Wilson",
"place of birth",
"Danville"
] | Q190618__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 Sammy Knight, the former American football player, and someone who was born in Danville? | Sammy Knight | Danville | place of birth | Query: What are different ways of connecting Sammy Knight, the former American football player, and someone who was born in Danville?
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 cont... | 803 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Sammy Knight\",\n \"played for\",\n \"New Orleans Saints\"\n ],\n [\n \"Trey Edmunds\",\n \"played for\",\n \"New Orleans Saints\"\n ],\n [\n \"Trey Edmunds\",\n \"place of birth\",\n \"Danville\"\n ]\n ],... |
[
"Q104898827",
"P162",
"Q95487473"
] | [
"Q104898827",
"P162",
"Q112512749"
] | [
"Q112512749",
"P106",
"Q49757"
] | [
"Shadowplay",
"producer",
"Helena Uldrichová"
] | [
"Shadowplay",
"producer",
"Jan Bradáč"
] | [
"Jan Bradáč",
"occupation",
"poet"
] | Q104898827__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 Helena Uldrichová, a notable figure in literature, and someone who is known for their work as a poet? | Helena Uldrichová | poet | occupation | Query: What are different ways of connecting Helena Uldrichová, a notable figure in literature, and someone who is known for their work as a poet?
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) f... | 804 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Helena Uldrichov\u00e1\", \"country of citizenship\", \"Czech Republic\"],\n [\"Jaroslav Seifert\", \"country of citizenship\", \"Czech Republic\"],\n [\"Jaroslav Seifert\", \"occupation\", \"poet\"]\n ],\n \"2\": [\n [\"Helena Uldrichov\u00e1\", \"occupati... |
[
"Q443278",
"P40",
"Q1812"
] | [
"Q12299551",
"P40",
"Q1812"
] | [
"Q12299551",
"P106",
"Q82955"
] | [
"Maecia Faustina",
"child",
"Gordian III"
] | [
"Junius Licinius Balbus",
"child",
"Gordian III"
] | [
"Junius Licinius Balbus",
"occupation",
"politician"
] | Q1812__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 Maecia Faustina, and someone who has held a political occupation? | Maecia Faustina | politician | occupation | Query: What are different ways of connecting Maecia Faustina, and someone who has held a political occupation?
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 begin... | 805 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Maecia Faustina\", \"country of citizenship\", \"Roman Empire\"],\n [\"Roman Empire\", \"head of state\", \"Augustus\"],\n [\"Augustus\", \"occupation\", \"politician\"]\n ],\n \"2\": [\n [\"Maecia Faustina\", \"country of citizenship\", \"Roman Empire\"],\... |
[
"Q713829",
"P166",
"Q935843"
] | [
"Q175759",
"P166",
"Q935843"
] | [
"Q175759",
"P264",
"Q1536003"
] | [
"Sly Stone",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Patti Page",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Patti Page",
"record label",
"Philips Records"
] | 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 Sly Stone, the influential musician, and someone who has been associated with Philips Records, a notable record label? | Sly Stone | Philips Records | record label | Query: What are different ways of connecting Sly Stone, the influential musician, and someone who has been associated with Philips Records, a notable record label?
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... | 806 | {"final_response": "```json\n{\n \"1\": [\n [\"Sly Stone\", \"inducted into\", \"Rock and Roll Hall of Fame\"],\n [\"David Bowie\", \"inducted into\", \"Rock and Roll Hall of Fame\"],\n [\"David Bowie\", \"record label\", \"Philips Records\"]\n ],\n \"2\": [\n [\"Sly Stone\", \"inducted into\", \"Rock an... |
[
"Q345294",
"P463",
"Q483718"
] | [
"Q1960239",
"P463",
"Q483718"
] | [
"Q1960239",
"P1303",
"Q17172850"
] | [
"Nate Mendel",
"member of",
"Foo Fighters"
] | [
"Ilan Rubin",
"member of",
"Foo Fighters"
] | [
"Ilan Rubin",
"instrument",
"voice"
] | Q483718__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 Nate Mendel, the bassist known for his work with the Foo Fighters, and someone who is known for their voice and instrumental skills? | Nate Mendel | voice | instrument | Query: What are different ways of connecting Nate Mendel, the bassist known for his work with the Foo Fighters, and someone who is known for their voice and instrumental skills?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 807 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Nate Mendel\", \"member of\", \"Foo Fighters\"],\n [\"Foo Fighters\", \"has member\", \"Dave Grohl\"],\n [\"Dave Grohl\", \"instrument\", \"voice\"]\n ],\n \"2\": [\n [\"Nate Mendel\", \"member of\", \"Sunny Day Real Estate\"],\n [\"Sunny Day Real Estate... |
[
"Q683741",
"P463",
"Q25507"
] | [
"Q732049",
"P463",
"Q25507"
] | [
"Q732049",
"P106",
"Q36834"
] | [
"Uwe Lulis",
"member of",
"Accept"
] | [
"Wolf Hoffmann",
"member of",
"Accept"
] | [
"Wolf Hoffmann",
"occupation",
"composer"
] | Q25507__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 Uwe Lulis, a musician, and someone who is known for their work as a composer? | Uwe Lulis | composer | occupation | Query: What are different ways of connecting Uwe Lulis, 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 continuous chai... | 808 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Uwe Lulis\", \"occupation\", \"composer\"]\n ],\n \"2\": [\n [\"Uwe Lulis\", \"member of\", \"Accept (band)\"],\n [\"Accept (band)\", \"member of\", \"Wolf Hoffmann\"],\n [\"Wolf Hoffmann\", \"occupation\", \"composer\"]\n ],\n \"3\": [\n [\"Uwe Lulis\... |
[
"Q18032782",
"P2293",
"Q128581"
] | [
"Q18042957",
"P2293",
"Q128581"
] | [
"Q18042957",
"P684",
"Q29752872"
] | [
"RBM10",
"genetic association",
"breast cancer"
] | [
"ZMIZ1",
"genetic association",
"breast cancer"
] | [
"ZMIZ1",
"ortholog",
"zmiz1a"
] | Q128581__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 RBM10, a gene associated with various biological functions, and a substance that is an ortholog of ZMIZ1? | RBM10 | zmiz1a | ortholog | Query: What are different ways of connecting RBM10, a gene associated with various biological functions, and a substance that is an ortholog of ZMIZ1?
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, tai... | 809 | {"final_response": "<answer>\n{\n \"1\": [\n [\"RBM10\", \"interacts with\", \"p53\"],\n [\"p53\", \"interacts with\", \"ZMIZ1\"],\n [\"ZMIZ1\", \"ortholog\", \"zmiz1a\"]\n ],\n \"2\": [\n [\"RBM10\", \"interacts with\", \"Androgen Receptor\"],\n [\"Androgen Receptor\", \"interacts with\", \"ZMIZ1\"],... |
[
"Q221546",
"P463",
"Q15920"
] | [
"Q313647",
"P463",
"Q15920"
] | [
"Q313647",
"P136",
"Q211723"
] | [
"Jason Newsted",
"member of",
"Metallica"
] | [
"Ron McGovney",
"member of",
"Metallica"
] | [
"Ron McGovney",
"genre",
"speed metal"
] | Q15920__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 Jason Newsted, the former bassist of Metallica, and someone who is associated with the speed metal genre? | Jason Newsted | speed metal | genre | Query: What are different ways of connecting Jason Newsted, the former bassist of Metallica, and someone who is associated with the speed metal genre?
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, tai... | 810 | {"final_response": "<answer>\n{\n \"1\": [\n \"Jason Newsted\",\n \"member of\",\n \"Metallica\",\n \"genre\",\n \"speed metal\"\n ],\n \"2\": [\n \"Jason Newsted\",\n \"member of\",\n \"Flotsam and Jetsam\",\n \"genre\",\n \"speed metal\"\n ],\n \"3\": [\n \"Jason Newsted\",\n ... |
[
"Q4707928",
"P166",
"Q17144"
] | [
"Q312643",
"P166",
"Q17144"
] | [
"Q312643",
"P647",
"Q159893"
] | [
"Alan Tower Waterman",
"award received",
"Presidential Medal of Freedom"
] | [
"Bob Cousy",
"award received",
"Presidential Medal of Freedom"
] | [
"Bob Cousy",
"drafted by",
"Atlanta Hawks"
] | 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 Alan Tower Waterman, an influential figure in the field of science, and someone who was drafted by the Atlanta Hawks? | Alan Tower Waterman | Atlanta Hawks | drafted by | Query: What are different ways of connecting Alan Tower Waterman, an influential figure in the field of science, and someone who was drafted by the Atlanta Hawks?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relat... | 811 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Alan Tower Waterman\",\n \"educated at\",\n \"Princeton University\"\n ],\n [\n \"Princeton University\",\n \"educated\",\n \"Armond Hill\"\n ],\n [\n \"Armond Hill\",\n \"drafted by\",\n \"Atlanta Hawks\"\n ... |
[
"Q23702493",
"P463",
"Q11895"
] | [
"Q39672",
"P463",
"Q11895"
] | [
"Q39672",
"P19",
"Q773853"
] | [
"Melissa Reese",
"member of",
"Guns N' Roses"
] | [
"Matt Sorum",
"member of",
"Guns N' Roses"
] | [
"Matt Sorum",
"place of birth",
"Venice"
] | Q11895__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 Melissa Reese, the musician, and someone who was born in Venice? | Melissa Reese | Venice | place of birth | Query: What are different ways of connecting Melissa Reese, the musician, and someone who was born in Venice?
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 begins... | 812 | {"final_response": "```json\n{\n \"1\": [\n [\"Melissa Reese\", \"member of\", \"Guns N' Roses\"],\n [\"Guns N' Roses\", \"lead singer\", \"Axl Rose\"],\n [\"Axl Rose\", \"performed with\", \"Luciano Pavarotti\"],\n [\"Luciano Pavarotti\", \"performed music by\", \"Antonio Vivaldi\"],\n [\"Antonio Vival... |
[
"Q233648",
"P166",
"Q17144"
] | [
"Q233718",
"P166",
"Q17144"
] | [
"Q233718",
"P19",
"Q934987"
] | [
"Lady Bird Johnson",
"award received",
"Presidential Medal of Freedom"
] | [
"Leontyne Price",
"award received",
"Presidential Medal of Freedom"
] | [
"Leontyne Price",
"place of birth",
"Laurel"
] | 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 Lady Bird Johnson, the former First Lady of the United States, and someone who was born in Laurel? | Lady Bird Johnson | Laurel | place of birth | Query: What are different ways of connecting Lady Bird Johnson, the former First Lady of the United States, and someone who was born in Laurel?
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... | 813 | {"final_response": "```json\n{\n \"1\": [\n [\"Lady Bird Johnson\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Charlton Heston\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Charlton Heston\", \"co-starred in\", \"Midway\"],\n [\"James Coburn\", \"co-starred in\", \"Midway\"],\n [\"... |
[
"Q18047604",
"P2293",
"Q62736"
] | [
"Q14912501",
"P2293",
"Q62736"
] | [
"Q14912501",
"P5572",
"Q4973094"
] | [
"DOT1L",
"genetic association",
"osteoarthritis"
] | [
"FTO",
"genetic association",
"osteoarthritis"
] | [
"FTO",
"expressed in",
"Brodmann area 46"
] | Q62736__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 DOT1L, a protein involved in gene regulation, and a substance that is expressed in Brodmann area 46? | DOT1L | Brodmann area 46 | expressed in | Query: What are different ways of connecting DOT1L, a protein involved in gene regulation, and a substance that is expressed in Brodmann area 46?
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... | 814 | {"final_response": "<answer>\n{\n \"1\": [\n [\"DOT1L\", \"regulates\", \"BDNF\"],\n [\"BDNF\", \"expressed in\", \"Brodmann area 46\"]\n ],\n \"2\": [\n [\"DOT1L\", \"interacts with\", \"KMT2A\"],\n [\"KMT2A\", \"expressed in\", \"Brodmann area 46\"]\n ],\n \"3\": [\n [\"DOT1L\", \"interacts with\"... |
[
"Q21064337",
"P54",
"Q7080909"
] | [
"Q18763866",
"P54",
"Q7080909"
] | [
"Q18763866",
"P413",
"Q24994"
] | [
"Adolphus Washington",
"member of sports team",
"Ohio State Buckeyes football"
] | [
"Vonn Bell",
"member of sports team",
"Ohio State Buckeyes football"
] | [
"Vonn Bell",
"position played on team / speciality",
"safety"
] | Q7080909__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 Adolphus Washington, a football player, and someone who plays the safety position on a team? | Adolphus Washington | safety | position played on team / speciality | Query: What are different ways of connecting Adolphus Washington, a football player, and someone who plays the safety position 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 ... | 815 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Adolphus Washington\", \"teammate\", \"Vonn Bell\"],\n [\"Vonn Bell\", \"position played on team / speciality\", \"safety\"]\n ],\n \"2\": [\n [\"Adolphus Washington\", \"teammate\", \"Micah Hyde\"],\n [\"Micah Hyde\", \"position played on team / speciality... |
[
"Q27114691",
"P2175",
"Q1477"
] | [
"Q415264",
"P2175",
"Q1477"
] | [
"Q415264",
"P3780",
"Q29005875"
] | [
"mercaptopurine hydrate",
"medical condition treated",
"ulcerative colitis"
] | [
"infliximab",
"medical condition treated",
"ulcerative colitis"
] | [
"infliximab",
"active ingredient in",
"Flixabi"
] | Q1477__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 mercaptopurine hydrate, a chemical compound, and a substance that is the active ingredient in Flixabi? | mercaptopurine hydrate | Flixabi | active ingredient in | Query: What are different ways of connecting mercaptopurine hydrate, a chemical compound, and a substance that is the active ingredient in Flixabi?
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) ... | 816 | {"final_response": "<answer>\n{\n \"1\": [\n [\"mercaptopurine hydrate\", \"treats\", \"Crohn's disease\"],\n [\"Crohn's disease\", \"treated by\", \"infliximab\"],\n [\"infliximab\", \"active ingredient in\", \"Flixabi\"]\n ],\n \"2\": [\n [\"mercaptopurine hydrate\", \"treats\", \"ulcerative colitis\"]... |
[
"Q101245257",
"P57",
"Q58895647"
] | [
"Q101245257",
"P57",
"Q2887372"
] | [
"Q2887372",
"P27",
"Q1009"
] | [
"Le silence de la forêt",
"director",
"Didier Ouénangaré"
] | [
"Le silence de la forêt",
"director",
"Bassek Ba Kobhio"
] | [
"Bassek Ba Kobhio",
"country of citizenship",
"Cameroon"
] | Q101245257__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 "Le silence de la forêt," a notable work, and someone who is a citizen of Cameroon? | Le silence de la forêt | Cameroon | country of citizenship | Query: What are different ways of connecting "Le silence de la forêt," a notable work, and someone who is a citizen of Cameroon?
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... | 817 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Le silence de la for\u00eat\", \"director\", \"Bassek Ba Kobhio\"],\n [\"Bassek Ba Kobhio\", \"country of citizenship\", \"Cameroon\"]\n ],\n \"2\": [\n [\"Le silence de la for\u00eat\", \"screenwriter\", \"Bassek Ba Kobhio\"],\n [\"Bassek Ba Kobhio\", \"co... |
[
"Q1584499",
"P54",
"Q157376"
] | [
"Q16216749",
"P54",
"Q157376"
] | [
"Q16216749",
"P19",
"Q1663761"
] | [
"Aaron Miles",
"member of sports team",
"Golden State Warriors"
] | [
"Guy Rucker",
"member of sports team",
"Golden State Warriors"
] | [
"Guy Rucker",
"place of birth",
"Inkster"
] | Q157376__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 Aaron Miles, the former professional baseball player, and someone who was born in Inkster? | Aaron Miles | Inkster | place of birth | Query: What are different ways of connecting Aaron Miles, the former professional baseball player, and someone who was born in Inkster?
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 co... | 818 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Aaron Miles\", \"played for\", \"Chicago White Sox\"],\n [\"Chicago White Sox\", \"owned by\", \"Jerry Reinsdorf\"],\n [\"Jerry Reinsdorf\", \"owns\", \"Chicago Bulls\"],\n [\"Chicago Bulls\", \"drafted\", \"Marcus Fizer\"],\n [\"Marcus Fizer\", \"place of... |
End of preview. Expand in Data Studio
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:
800 - End Index:
820
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s800__e820__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s800_e820_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 11:34:05 using the inference pipeline with the above configuration.
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