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 15 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.31k | query stringlengths 88 178 | entity_a stringlengths 4 37 | entity_b stringlengths 5 49 | rel_b stringlengths 5 17 | prompt stringlengths 3.55k 3.68k | index int64 220 239 | raw_responses stringlengths 1.02k 3.33k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q204943",
"P463",
"Q11036"
] | [
"Q312696",
"P463",
"Q11036"
] | [
"Q312696",
"P101",
"Q11399"
] | [
"Brian Jones",
"member of",
"The Rolling Stones"
] | [
"Mick Taylor",
"member of",
"The Rolling Stones"
] | [
"Mick Taylor",
"field of work",
"rock music"
] | Q11036__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 Brian Jones, the iconic rock musician, and someone who is known for their work in the field of rock music? | Brian Jones | rock music | field of work | Query: What are different ways of connecting Brian Jones, the iconic rock musician, and someone who is known for their work in the field of rock music?
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... | 220 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Brian Jones\", \"bandmate\", \"Mick Jagger\"],\n [\"Mick Jagger\", \"field of work\", \"rock music\"]\n ],\n \"2\": [\n [\"Brian Jones\", \"bandmate\", \"Keith Richards\"],\n [\"Keith Richards\", \"field of work\", \"rock music\"]\n ],\n \"3\": [\n [\"... |
[
"Q104898656",
"P58",
"Q107369444"
] | [
"Q104898656",
"P58",
"Q112436744"
] | [
"Q112436744",
"P19",
"Q1008595"
] | [
"Boys 1970",
"screenwriter",
"Libor Dusek"
] | [
"Boys 1970",
"screenwriter",
"Libor Dušek"
] | [
"Libor Dušek",
"place of birth",
"Vrchlabí"
] | Q104898656__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 Libor Dusek, and someone who was born in Vrchlabí? | Libor Dusek | Vrchlabí | place of birth | Query: What are different ways of connecting Libor Dusek, and someone who was born in Vrchlabí?
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 with one enti... | 221 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Libor Dusek\", \"country of citizenship\", \"Czech Republic\"],\n [\"Czech Republic\", \"has citizen\", \"Eva Samkov\u00e1\"],\n [\"Eva Samkov\u00e1\", \"place of birth\", \"Vrchlab\u00ed\"]\n ],\n \"2\": [\n [\"Libor Dusek\", \"place of work\", \"Prague\"]... |
[
"Q1373877",
"P54",
"Q169898"
] | [
"Q172845",
"P54",
"Q169898"
] | [
"Q172845",
"P166",
"Q3362502"
] | [
"Guy Moll",
"member of sports team",
"Scuderia Ferrari"
] | [
"Gilles Villeneuve",
"member of sports team",
"Scuderia Ferrari"
] | [
"Gilles Villeneuve",
"award received",
"Quebec Sports Hall of Fame"
] | Q169898__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 Guy Moll, the French racing driver, and someone who has received an award from the Quebec Sports Hall of Fame? | Guy Moll | Quebec Sports Hall of Fame | award received | Query: What are different ways of connecting Guy Moll, the French racing driver, and someone who has received an award from the Quebec Sports Hall of Fame?
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... | 222 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Guy Moll\", \"drove for\", \"Scuderia Ferrari\"],\n [\"Scuderia Ferrari\", \"employed\", \"Gilles Villeneuve\"],\n [\"Gilles Villeneuve\", \"award received\", \"Quebec Sports Hall of Fame\"]\n ],\n \"2\": [\n [\"Guy Moll\", \"won\", \"Monaco Grand Prix\"],\... |
[
"Q176455",
"P40",
"Q2315802"
] | [
"Q309788",
"P40",
"Q2315802"
] | [
"Q309788",
"P166",
"Q17985761"
] | [
"Melanie Griffith",
"child",
"Dakota Johnson"
] | [
"Don Johnson",
"child",
"Dakota Johnson"
] | [
"Don Johnson",
"award received",
"star on Hollywood Walk of Fame"
] | 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 Melanie Griffith, the American actress, and someone who has received a star on the Hollywood Walk of Fame? | Melanie Griffith | star on Hollywood Walk of Fame | award received | Query: What are different ways of connecting Melanie Griffith, the American actress, and someone who has received a star on the Hollywood Walk of Fame?
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... | 223 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Melanie Griffith\", \"child of\", \"Tippi Hedren\"],\n [\"Tippi Hedren\", \"award received\", \"star on Hollywood Walk of Fame\"]\n ],\n \"2\": [\n [\"Melanie Griffith\", \"spouse\", \"Antonio Banderas\"],\n [\"Antonio Banderas\", \"award received\", \"star... |
[
"Q101244968",
"P57",
"Q66764599"
] | [
"Q101244968",
"P57",
"Q3187708"
] | [
"Q3187708",
"P106",
"Q28389"
] | [
"The Mansion of Madness",
"director",
"Max Kerlow"
] | [
"The Mansion of Madness",
"director",
"Juan López Moctezuma"
] | [
"Juan López Moctezuma",
"occupation",
"screenwriter"
] | Q101244968__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 The Mansion of Madness, a notable film, and someone who is a screenwriter? | The Mansion of Madness | screenwriter | occupation | Query: What are different ways of connecting The Mansion of Madness, a notable film, and someone who is a screenwriter?
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 t... | 224 | {"final_response": "<answer>\n{\n \"1\": [\n [\"The Mansion of Madness\", \"director\", \"Juan L\u00f3pez Moctezuma\"],\n [\"Juan L\u00f3pez Moctezuma\", \"occupation\", \"screenwriter\"]\n ],\n \"2\": [\n [\"The Mansion of Madness\", \"cast member\", \"Claudio Brook\"],\n [\"Claudio Brook\", \"cast memb... |
[
"Q1271",
"P39",
"Q81066"
] | [
"Q1254",
"P39",
"Q81066"
] | [
"Q1254",
"P166",
"Q21164"
] | [
"Trygve Lie",
"position held",
"United Nations Secretary-General"
] | [
"Kofi Annan",
"position held",
"United Nations Secretary-General"
] | [
"Kofi Annan",
"award received",
"Order of Merit of the Federal Republic of Germany"
] | Q81066__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 Trygve Lie, a notable figure in international diplomacy, and someone who has received the Order of Merit of the Federal Republic of Germany? | Trygve Lie | Order of Merit of the Federal Republic of Germany | award received | Query: What are different ways of connecting Trygve Lie, a notable figure in international diplomacy, and someone who has received the Order of Merit of the Federal Republic of Germany?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factu... | 225 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Trygve Lie\", \"held position\", \"Secretary-General of the United Nations\"],\n [\"Kofi Annan\", \"held position\", \"Secretary-General of the United Nations\"],\n [\"Kofi Annan\", \"award received\", \"Order of Merit of the Federal Republic of Germany... |
[
"Q990857",
"P58",
"Q236148"
] | [
"Q990857",
"P58",
"Q491314"
] | [
"Q491314",
"P166",
"Q1324407"
] | [
"Brothers",
"screenwriter",
"Susanne Bier"
] | [
"Brothers",
"screenwriter",
"Anders Thomas Jensen"
] | [
"Anders Thomas Jensen",
"award received",
"Academy Award for Best Live Action Short Film"
] | Q990857__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 Susanne Bier, the acclaimed Danish director, and someone who has received the Academy Award for Best Live Action Short Film? | Susanne Bier | Academy Award for Best Live Action Short Film | award received | Query: What are different ways of connecting Susanne Bier, the acclaimed Danish director, and someone who has received the Academy Award for Best Live Action Short Film?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head... | 226 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Susanne Bier\",\n \"directed\",\n \"In a Better World\"\n ],\n [\n \"In a Better World\",\n \"written by\",\n \"Anders Thomas Jensen\"\n ],\n [\n \"Anders Thomas Jensen\",\n \"award received\",\n \"Academy Aw... |
[
"Q1051023",
"P162",
"Q4732725"
] | [
"Q1051023",
"P162",
"Q56008"
] | [
"Q56008",
"P166",
"Q24616"
] | [
"Frankenweenie",
"producer",
"Allison Abbate"
] | [
"Frankenweenie",
"producer",
"Tim Burton"
] | [
"Tim Burton",
"award received",
"Empire Awards"
] | Q1051023__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 Allison Abbate, a notable producer, and someone who received an award at the Empire Awards? | Allison Abbate | Empire Awards | award received | Query: What are different ways of connecting Allison Abbate, a notable producer, and someone who received an award at the Empire Awards?
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 c... | 227 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Allison Abbate\", \"produced\", \"Corpse Bride\"],\n [\"Tim Burton\", \"directed\", \"Corpse Bride\"],\n [\"Tim Burton\", \"award received\", \"Empire Awards\"]\n ],\n \"2\": [\n [\"Allison Abbate\", \"produced\", \"Fantastic Mr. Fox\"],\n [\"Wes Anderso... |
[
"Q18030075",
"P2293",
"Q11088"
] | [
"Q18026947",
"P2293",
"Q11088"
] | [
"Q18026947",
"P5572",
"Q66535707"
] | [
"NFIA",
"genetic association",
"coeliac disease"
] | [
"HLA-DQA1",
"genetic association",
"coeliac disease"
] | [
"HLA-DQA1",
"expressed in",
"skin of hip"
] | Q11088__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 NFIA, a gene involved in neural development, and a substance that is expressed in the skin of the hip? | NFIA | skin of hip | expressed in | Query: What are different ways of connecting NFIA, a gene involved in neural development, and a substance that is expressed in the skin of the hip?
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) ... | 228 | {"final_response": "<answer>\n{\n \"1\": [\n [\"NFIA\", \"expressed in\", \"skin of hip\"]\n ],\n \"2\": [\n [\"NFIA\", \"paralog of\", \"NFIB\"],\n [\"NFIB\", \"expressed in\", \"skin of hip\"]\n ],\n \"3\": [\n [\"NFIA\", \"paralog of\", \"NFIX\"],\n [\"NFIX\", \"expressed in\", \"skin of hip\"]\n... |
[
"Q18047439",
"P2293",
"Q131755"
] | [
"Q18032734",
"P2293",
"Q131755"
] | [
"Q18032734",
"P684",
"Q29706942"
] | [
"NLRC5",
"genetic association",
"bipolar disorder"
] | [
"IFT88",
"genetic association",
"bipolar disorder"
] | [
"IFT88",
"ortholog",
"osm-5"
] | Q131755__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 NLRC5, a protein involved in immune response, and a substance that is an ortholog of IFT88 in the osm-5 gene? | NLRC5 | osm-5 | ortholog | Query: What are different ways of connecting NLRC5, a protein involved in immune response, and a substance that is an ortholog of IFT88 in the osm-5 gene?
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,... | 229 | {"final_response": "<answer>\n{\n \"1\": [\n [\"NLRC5\", \"found in taxon\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"contains gene\", \"IFT88\"],\n [\"IFT88\", \"ortholog\", \"osm-5\"]\n ],\n \"2\": [\n [\"NLRC5\", \"interacts with\", \"HSP90AA1\"],\n [\"HSP90AA1\", \"interacts with\", \"IFT88\"],\n... |
[
"Q312583",
"P39",
"Q14211"
] | [
"Q272201",
"P39",
"Q14211"
] | [
"Q272201",
"P108",
"Q1024869"
] | [
"Augustus FitzRoy, 3rd Duke of Grafton",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Liz Truss",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Liz Truss",
"employer",
"Cable & Wireless plc"
] | 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 Augustus FitzRoy, 3rd Duke of Grafton, and someone who has been employed by Cable & Wireless plc? | Augustus FitzRoy, 3rd Duke of Grafton | Cable & Wireless plc | employer | Query: What are different ways of connecting Augustus FitzRoy, 3rd Duke of Grafton, and someone who has been employed by Cable & Wireless plc?
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... | 230 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Augustus FitzRoy, 3rd Duke of Grafton\",\n \"held position\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Margaret Thatcher\",\n \"held position\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Mar... |
[
"Q19968695",
"P54",
"Q7156"
] | [
"Q786680",
"P54",
"Q7156"
] | [
"Q786680",
"P1532",
"Q29"
] | [
"Mamadou Sylla Diallo",
"member of sports team",
"FC Barcelona"
] | [
"Marcos Alonso Peña",
"member of sports team",
"FC Barcelona"
] | [
"Marcos Alonso Peña",
"country for sport",
"Spain"
] | Q7156__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 Mamadou Sylla Diallo and someone who represents a country known for its strong presence in sports, specifically Spain? | Mamadou Sylla Diallo | Spain | country for sport | Query: What are different ways of connecting Mamadou Sylla Diallo and someone who represents a country known for its strong presence in sports, specifically Spain?
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... | 231 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Mamadou Sylla Diallo\", \"teammate of\", \"Pau L\u00f3pez\"],\n [\"Pau L\u00f3pez\", \"country for sport\", \"Spain\"]\n ],\n \"2\": [\n [\"Mamadou Sylla Diallo\", \"teammate of\", \"Marco Asensio\"],\n [\"Marco Asensio\", \"country for sport\", \"Spain\"]\... |
[
"Q18037107",
"P2293",
"Q131755"
] | [
"Q18030950",
"P2293",
"Q131755"
] | [
"Q18030950",
"P5572",
"Q11397859"
] | [
"SYNE1",
"genetic association",
"bipolar disorder"
] | [
"PTPRN2",
"genetic association",
"bipolar disorder"
] | [
"PTPRN2",
"expressed in",
"frontal pole"
] | Q131755__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 SYNE1, a gene associated with certain cellular functions, and a substance that is expressed in the frontal pole? | SYNE1 | frontal pole | expressed in | Query: What are different ways of connecting SYNE1, a gene associated with certain cellular functions, and a substance that is expressed in the frontal pole?
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... | 232 | {"final_response": "<answer>\n{\n \"1\": [\n \"SYNE1\",\n \"expressed in\",\n \"frontal pole\"\n ],\n \"2\": [\n \"SYNE1\",\n \"encodes\",\n \"Nesprin-1\",\n \"expressed in\",\n \"frontal pole\"\n ],\n \"3\": [\n \"SYNE1\",\n \"interacts with\",\n \"LMNA\",\n \"expressed in\",\n... |
[
"Q18038784",
"P2293",
"Q11081"
] | [
"Q18029171",
"P2293",
"Q11081"
] | [
"Q18029171",
"P5572",
"Q30015791"
] | [
"PCDH11X",
"genetic association",
"Alzheimer's disease"
] | [
"AFF1",
"genetic association",
"Alzheimer's disease"
] | [
"AFF1",
"expressed in",
"caput epididymis"
] | 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 PCDH11X, a gene, and a substance that is expressed in the caput epididymis? | PCDH11X | caput epididymis | expressed in | Query: What are different ways of connecting PCDH11X, a gene, and a substance that is expressed in the caput epididymis?
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 ... | 233 | {"final_response": "<answer>\n{\n \"1\": [\n [\"PCDH11X\", \"located on\", \"Chromosome X\"],\n [\"Chromosome X\", \"contains gene\", \"Androgen Receptor\"],\n [\"Androgen Receptor\", \"expressed in\", \"caput epididymis\"]\n ],\n \"2\": [\n [\"PCDH11X\", \"interacts with\", \"CTNNB1\"],\n [\"CTNNB1\"... |
[
"Q251865",
"P463",
"Q11895"
] | [
"Q320621",
"P463",
"Q11895"
] | [
"Q320621",
"P106",
"Q36834"
] | [
"Duff McKagan",
"member of",
"Guns N' Roses"
] | [
"Izzy Stradlin",
"member of",
"Guns N' Roses"
] | [
"Izzy Stradlin",
"occupation",
"composer"
] | 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 Duff McKagan, the bassist of Guns N' Roses, and someone who is known for their work as a composer? | Duff McKagan | composer | occupation | Query: What are different ways of connecting Duff McKagan, the bassist of Guns N' Roses, 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) form... | 234 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Duff McKagan\", \"member of\", \"Guns N' Roses\"],\n [\"Guns N' Roses\", \"collaborated with\", \"Michael Kamen\"],\n [\"Michael Kamen\", \"occupation\", \"composer\"]\n ],\n \"2\": [\n [\"Duff McKagan\", \"cameo appearance\", \"The Dead Pool\"],\n [\"Th... |
[
"Q15880",
"P463",
"Q15862"
] | [
"Q192103",
"P463",
"Q15862"
] | [
"Q192103",
"P1303",
"Q5994"
] | [
"Roger Taylor",
"member of",
"Queen"
] | [
"John Deacon",
"member of",
"Queen"
] | [
"John Deacon",
"instrument",
"piano"
] | Q15862__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 Roger Taylor, the drummer of Queen, and someone who plays the piano? | Roger Taylor | piano | instrument | Query: What are different ways of connecting Roger Taylor, the drummer of Queen, and someone who plays the piano?
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 be... | 235 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Roger Taylor\", \"member of\", \"Queen\"],\n [\"Queen\", \"member\", \"Freddie Mercury\"],\n [\"Freddie Mercury\", \"instrument\", \"piano\"]\n ],\n \"2\": [\n [\"Roger Taylor\", \"member of\", \"Queen\"],\n [\"Queen\", \"member\", \"Brian May\"],\n [... |
[
"Q83071",
"P161",
"Q3825238"
] | [
"Q83071",
"P161",
"Q345038"
] | [
"Q345038",
"P172",
"Q235155"
] | [
"Downton Abbey",
"cast member",
"Lachlan Nieboer"
] | [
"Downton Abbey",
"cast member",
"Ed Speleers"
] | [
"Ed Speleers",
"ethnic group",
"white people"
] | Q83071__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 Lachlan Nieboer, an actor, and someone who belongs to the ethnic group commonly referred to as white people? | Lachlan Nieboer | white people | ethnic group | Query: What are different ways of connecting Lachlan Nieboer, an actor, and someone who belongs to the ethnic group commonly referred to as white people?
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, ... | 236 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Lachlan Nieboer\", \"acted in\", \"Downton Abbey\"],\n [\"Downton Abbey\", \"cast member\", \"Hugh Bonneville\"],\n [\"Hugh Bonneville\", \"ethnic group\", \"white people\"]\n ],\n \"2\": [\n [\"Lachlan Nieboer\", \"acted in\", \"Into the White\"],\n [\"... |
[
"Q471763",
"P2175",
"Q35869"
] | [
"Q32921",
"P2175",
"Q35869"
] | [
"Q32921",
"P3335",
"Q21174630"
] | [
"aminophylline",
"medical condition treated",
"asthma"
] | [
"halothane",
"medical condition treated",
"asthma"
] | [
"halothane",
"associated hazard",
"halothane exposure"
] | 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 aminophylline, a medication used for respiratory issues, and a substance that is associated with hazards related to exposure to halothane? | aminophylline | halothane exposure | associated hazard | Query: What are different ways of connecting aminophylline, a medication used for respiratory issues, and a substance that is associated with hazards related to exposure to halothane?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual... | 237 | {"final_response": "<answer>\n{\n \"1\": [\n [\"aminophylline\", \"associated hazard\", \"halothane exposure\"]\n ],\n \"2\": [\n [\"aminophylline\", \"has active ingredient\", \"theophylline\"],\n [\"theophylline\", \"associated hazard\", \"halothane exposure\"]\n ],\n \"3\": [\n [\"aminophylline\", \... |
[
"Q9640",
"P39",
"Q11699"
] | [
"Q11820",
"P39",
"Q11699"
] | [
"Q11820",
"P40",
"Q75766974"
] | [
"Lyndon B. Johnson",
"position held",
"Vice President of the United States"
] | [
"Martin Van Buren",
"position held",
"Vice President of the United States"
] | [
"Martin Van Buren",
"child",
"Winfield Scott Van Buren"
] | Q11699__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 Lyndon B. Johnson, the 36th President of the United States, and someone who is the parent of Winfield Scott Van Buren? | Lyndon B. Johnson | Winfield Scott Van Buren | child | Query: What are different ways of connecting Lyndon B. Johnson, the 36th President of the United States, and someone who is the parent of Winfield Scott Van Buren?
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... | 238 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Lyndon B. Johnson\", \"held office\", \"President of the United States\"],\n [\"President of the United States\", \"position held by\", \"Martin Van Buren\"],\n [\"Martin Van Buren\", \"child\", \"Winfield Scott Van Buren\"]\n ],\n \"2\": [\n [\"Lyndon B. J... |
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:
220 - End Index:
240
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s220__e240__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("s220_e240_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 02:59:46 using the inference pipeline with the above configuration.
- Downloads last month
- 11