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 8 15 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.35k | query stringlengths 89 173 | entity_a stringlengths 4 48 | entity_b stringlengths 5 29 | rel_b stringlengths 5 29 | prompt stringlengths 3.54k 3.67k | index int64 320 339 | raw_responses stringlengths 93 4.23k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q202168",
"P166",
"Q38104"
] | [
"Q57077",
"P166",
"Q38104"
] | [
"Q57077",
"P3373",
"Q19298526"
] | [
"Toshihide Maskawa",
"award received",
"Nobel Prize in Physics"
] | [
"Ferdinand Braun",
"award received",
"Nobel Prize in Physics"
] | [
"Ferdinand Braun",
"sibling",
"Philipp Braun"
] | Q38104__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 Toshihide Maskawa, a notable physicist, and someone who is a sibling of Ferdinand Braun? | Toshihide Maskawa | Philipp Braun | sibling | Query: What are different ways of connecting Toshihide Maskawa, a notable physicist, and someone who is a sibling of Ferdinand Braun?
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... | 320 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Toshihide Maskawa\",\n \"won award\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Nobel Prize in Physics\",\n \"awarded to\",\n \"Ferdinand Braun\"\n ],\n [\n \"Ferdinand Braun\",\n \"sibling\",\n \"Philipp Bra... |
[
"Q65562331",
"P463",
"Q41924"
] | [
"Q65562289",
"P463",
"Q41924"
] | [
"Q65562289",
"P106",
"Q177220"
] | [
"Doni",
"member of",
"Koil"
] | [
"Otong",
"member of",
"Koil"
] | [
"Otong",
"occupation",
"singer"
] | Q41924__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 Doni, a notable figure in music, and someone who is a singer? | Doni | singer | occupation | Query: What are different ways of connecting Doni, a notable figure in music, and someone who is a singer?
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 wi... | 321 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Doni\",\n \"born in\",\n \"Florence\"\n ],\n [\n \"Florence\",\n \"birthplace of\",\n \"Piero Pel\u00f9\"\n ],\n [\n \"Piero Pel\u00f9\",\n \"occupation\",\n \"singer\"\n ]\n ],\n \"2\": [\n [\n ... |
[
"Q6688058",
"P54",
"Q337758"
] | [
"Q3934847",
"P54",
"Q337758"
] | [
"Q3934847",
"P19",
"Q489197"
] | [
"Louis Riddick",
"member of sports team",
"San Francisco 49ers"
] | [
"Clark Haggans",
"member of sports team",
"San Francisco 49ers"
] | [
"Clark Haggans",
"place of birth",
"Torrance"
] | Q337758__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 Louis Riddick, a former NFL player and analyst, and someone who was born in Torrance? | Louis Riddick | Torrance | place of birth | Query: What are different ways of connecting Louis Riddick, a former NFL player and analyst, and someone who was born in Torrance?
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 continu... | 322 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\n \"Louis Riddick\",\n \"played for\",\n \"Atlanta Falcons\"\n ],\n [\n \"Atlanta Falcons\",\n \"employed\",\n \"Steve Sarkisian\"\n ],\n [\n \"Steve Sarkisian\",\n \"place of birth\",\n \"Torrance\"\n ... |
[
"Q104898656",
"P58",
"Q112436744"
] | [
"Q104898656",
"P58",
"Q107369444"
] | [
"Q107369444",
"P27",
"Q213"
] | [
"Boys 1970",
"screenwriter",
"Libor Dušek"
] | [
"Boys 1970",
"screenwriter",
"Libor Dusek"
] | [
"Libor Dusek",
"country of citizenship",
"Czech Republic"
] | 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 Dušek, a notable figure, and someone who holds citizenship in the Czech Republic? | Libor Dušek | Czech Republic | country of citizenship | Query: What are different ways of connecting Libor Dušek, a notable figure, and someone who holds citizenship in the Czech Republic?
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 conti... | 323 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Libor Du\u0161ek\", \"country of citizenship\", \"Czech Republic\"]\n ],\n \"2\": [\n [\"Libor Du\u0161ek\", \"educated at\", \"Charles University\"],\n [\"V\u00e1clav Havel\", \"educated at\", \"Charles University\"],\n [\"V\u00e1clav Havel\", \"country of... |
[
"Q422198",
"P2175",
"Q12199"
] | [
"Q263713",
"P2175",
"Q12199"
] | [
"Q263713",
"P703",
"Q2069249"
] | [
"amprenavir",
"medical condition treated",
"HIV/AIDS"
] | [
"nevirapine",
"medical condition treated",
"HIV/AIDS"
] | [
"nevirapine",
"found in taxon",
"Stachybotrys chartarum"
] | Q12199__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 amprenavir, a medication used in the treatment of HIV, and a substance that is found in the taxon Stachybotrys chartarum? | amprenavir | Stachybotrys chartarum | found in taxon | Query: What are different ways of connecting amprenavir, a medication used in the treatment of HIV, and a substance that is found in the taxon Stachybotrys chartarum?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, r... | 324 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"amprenavir\",\n \"interacts with\",\n \"ketoconazole\"\n ],\n [\n \"ketoconazole\",\n \"targets\",\n \"ergosterol\"\n ],\n [\n \"ergosterol\",\n \"found in taxon\",\n \"Stachybotrys chartarum\"\n ]\n ],\n... |
[
"Q18026498",
"P2293",
"Q128581"
] | [
"Q18043183",
"P2293",
"Q128581"
] | [
"Q18043183",
"P684",
"Q29738968"
] | [
"GRIK1",
"genetic association",
"breast cancer"
] | [
"MRTFA",
"genetic association",
"breast cancer"
] | [
"MRTFA",
"ortholog",
"mkl1a"
] | 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 GRIK1, a gene associated with glutamate receptors, and a substance that is an ortholog of mkl1a? | GRIK1 | mkl1a | ortholog | Query: What are different ways of connecting GRIK1, a gene associated with glutamate receptors, and a substance that is an ortholog of mkl1a?
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) formin... | 325 | {"final_response": "<answer>\n{\n \"1\": [\n [\"GRIK1\", \"found in taxon\", \"Homo sapiens\"],\n [\"MKL1\", \"found in taxon\", \"Homo sapiens\"],\n [\"MKL1\", \"ortholog\", \"mkl1a\"]\n ],\n \"2\": [\n [\"GRIK1\", \"expressed in\", \"Brain\"],\n [\"MKL1\", \"expressed in\", \"Brain\"],\n [\"MKL1\... |
[
"Q214959",
"P166",
"Q935843"
] | [
"Q131725",
"P166",
"Q935843"
] | [
"Q131725",
"P136",
"Q235858"
] | [
"Harry Belafonte",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Joan Baez",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Joan Baez",
"genre",
"traditional folk music"
] | 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 Harry Belafonte, the legendary singer and actor, and someone who is known for her contributions to the genre of traditional folk music? | Harry Belafonte | traditional folk music | genre | Query: What are different ways of connecting Harry Belafonte, the legendary singer and actor, and someone who is known for her contributions to the genre of traditional folk music?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tr... | 326 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Harry Belafonte\",\n \"performed with\",\n \"Odetta\"\n ],\n [\n \"Odetta\",\n \"genre\",\n \"traditional folk music\"\n ]\n ],\n \"2\": [\n [\n \"Harry Belafonte\",\n \"toured with\",\n \"Nana Mouskouri\"\... |
[
"Q47703",
"P161",
"Q171736"
] | [
"Q47703",
"P161",
"Q95043"
] | [
"Q95043",
"P26",
"Q21294823"
] | [
"The Godfather",
"cast member",
"Robert Duvall"
] | [
"The Godfather",
"cast member",
"James Caan"
] | [
"James Caan",
"spouse",
"Sheila Ryan"
] | Q47703__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 Robert Duvall, the acclaimed actor, and someone who is the spouse of Sheila Ryan? | Robert Duvall | Sheila Ryan | spouse | Query: What are different ways of connecting Robert Duvall, the acclaimed actor, and someone who is the spouse of Sheila Ryan?
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 ... | 327 | {"final_response": "```json\n{\n \"1\": [\n [\"Robert Duvall\", \"acted in\", \"True Grit\"],\n [\"True Grit\", \"features\", \"Glen Campbell\"],\n [\"Glen Campbell\", \"acted in\", \"Norwood\"],\n [\"Norwood\", \"features\", \"Pat Buttram\"],\n [\"Pat Buttram\", \"spouse\", \"Sheila Ryan\"]\n ],\n \"... |
[
"Q18037003",
"P2293",
"Q11081"
] | [
"Q14914401",
"P2293",
"Q11081"
] | [
"Q14914401",
"P5572",
"Q9606"
] | [
"PRRC2C",
"genetic association",
"Alzheimer's disease"
] | [
"GAB2",
"genetic association",
"Alzheimer's disease"
] | [
"GAB2",
"expressed in",
"spinal cord"
] | 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 PRRC2C, a gene, and a substance that is expressed in the spinal cord? | PRRC2C | spinal cord | expressed in | Query: What are different ways of connecting PRRC2C, a gene, and a substance that is expressed in the spinal cord?
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 b... | 328 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"PRRC2C\",\n \"expressed in\",\n \"spinal cord\"\n ]\n ],\n \"2\": [\n [\n \"PRRC2C\",\n \"interacts with\",\n \"TARDBP\"\n ],\n [\n \"TARDBP\",\n \"expressed in\",\n \"spinal cord\"\n ]\n ],\n \"3\": [... |
[
"Q1240076",
"P2175",
"Q41478"
] | [
"Q422745",
"P2175",
"Q41478"
] | [
"Q422745",
"P2868",
"Q2853347"
] | [
"pramoxine",
"medical condition treated",
"hemorrhoid"
] | [
"benzocaine",
"medical condition treated",
"hemorrhoid"
] | [
"benzocaine",
"subject has role",
"antipruritic"
] | Q41478__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 pramoxine, a chemical compound, and a substance that has a role as an antipruritic? | pramoxine | antipruritic | subject has role | Query: What are different ways of connecting pramoxine, a chemical compound, and a substance that has a role as an antipruritic?
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... | 329 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"pramoxine\",\n \"subject has role\",\n \"antipruritic\"\n ]\n ],\n \"2\": [\n [\n \"pramoxine\",\n \"has salt form\",\n \"pramoxine hydrochloride\"\n ],\n [\n \"pramoxine hydrochloride\",\n \"subject has role\",... |
[
"Q1027175",
"P58",
"Q5363776"
] | [
"Q1027175",
"P58",
"Q5214724"
] | [
"Q5214724",
"P106",
"Q2059704"
] | [
"The Wedding Date",
"screenwriter",
"Elizabeth Young"
] | [
"The Wedding Date",
"screenwriter",
"Dana Fox"
] | [
"Dana Fox",
"occupation",
"television director"
] | Q1027175__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 Elizabeth Young and someone who works as a television director? | Elizabeth Young | television director | occupation | Query: What are different ways of connecting Elizabeth Young and someone who works as a television director?
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 ... | 330 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Elizabeth Young\", \"spouse\", \"Joseph L. Mankiewicz\"],\n [\"Joseph L. Mankiewicz\", \"child\", \"Tom Mankiewicz\"],\n [\"Tom Mankiewicz\", \"occupation\", \"television director\"]\n ],\n \"2\": [\n [\"Elizabeth Young\", \"cast member of\", \"Queen Christ... |
[
"Q318694",
"P463",
"Q27593"
] | [
"Q44653",
"P463",
"Q27593"
] | [
"Q44653",
"P7763",
"Q73555012"
] | [
"Cliff Williams",
"member of",
"AC/DC"
] | [
"Malcolm Young",
"member of",
"AC/DC"
] | [
"Malcolm Young",
"copyright status as a creator",
"works protected by copyrights"
] | Q27593__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 Cliff Williams, the bassist known for his work with AC/DC, and someone who has created works that are protected by copyrights? | Cliff Williams | works protected by copyrights | copyright status as a creator | Query: What are different ways of connecting Cliff Williams, the bassist known for his work with AC/DC, and someone who has created works that are protected by copyrights?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he... | 331 | {"final_response": "```json\n{\n \"1\": [\n \"(\\\"Cliff Williams\\\", \\\"member of\\\", \\\"AC/DC\\\")\",\n \"(\\\"AC/DC\\\", \\\"member of\\\", \\\"Angus Young\\\")\",\n \"(\\\"Angus Young\\\", \\\"copyright status as a creator\\\", \\\"works protected by copyrights\\\")\"\n ],\n \"2\": [\n \"(\\\"Cli... |
[
"Q7341092",
"P54",
"Q219602"
] | [
"Q3840552",
"P54",
"Q219602"
] | [
"Q3840552",
"P19",
"Q991355"
] | [
"Robby Felix",
"member of sports team",
"New York Jets"
] | [
"Luke Lawton",
"member of sports team",
"New York Jets"
] | [
"Luke Lawton",
"place of birth",
"New Iberia"
] | Q219602__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 Robby Felix and someone who was born in New Iberia? | Robby Felix | New Iberia | place of birth | Query: What are different ways of connecting Robby Felix and someone who was born in New Iberia?
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 ent... | 332 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Robby Felix\", \"played for\", \"Baltimore Ravens\"],\n [\"Baltimore Ravens\", \"based in\", \"Baltimore\"],\n [\"Johns Hopkins Hospital\", \"located in\", \"Baltimore\"],\n [\"Vivien Thomas\", \"worked at\", \"Johns Hopkins Hospital\"],\n [\"Vivien Thomas... |
[
"Q766106",
"P40",
"Q76"
] | [
"Q649593",
"P40",
"Q76"
] | [
"Q649593",
"P463",
"Q1938003"
] | [
"Stanley Ann Dunham",
"child",
"Barack Obama"
] | [
"Barack Obama Sr.",
"child",
"Barack Obama"
] | [
"Barack Obama Sr.",
"member of",
"Phi Beta Kappa Society"
] | Q76__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 Stanley Ann Dunham, the mother of a prominent political figure, and someone who is a member of the Phi Beta Kappa Society? | Stanley Ann Dunham | Phi Beta Kappa Society | member of | Query: What are different ways of connecting Stanley Ann Dunham, the mother of a prominent political figure, and someone who is a member of the Phi Beta Kappa Society?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | 333 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Stanley Ann Dunham\", \"mother of\", \"Barack Obama\"],\n [\"Barack Obama\", \"appointed\", \"Hillary Clinton\"],\n [\"Hillary Clinton\", \"member of\", \"Phi Beta Kappa Society\"]\n ],\n \"2\": [\n [\"Stanley Ann Dunham\", \"mother of\", \"Barack Obama\"],... |
[
"Q318926",
"P54",
"Q131364"
] | [
"Q3840919",
"P54",
"Q131364"
] | [
"Q3840919",
"P19",
"Q788794"
] | [
"Sasha Vujačić",
"member of sports team",
"New York Knicks"
] | [
"Luther Rackley",
"member of sports team",
"New York Knicks"
] | [
"Luther Rackley",
"place of birth",
"Bainbridge"
] | 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 Sasha Vujačić, the professional basketball player, and someone who was born in Bainbridge? | Sasha Vujačić | Bainbridge | place of birth | Query: What are different ways of connecting Sasha Vujačić, the professional basketball player, and someone who was born in Bainbridge?
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... | 334 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Sasha Vuja\u010di\u0107\",\n \"played for\",\n \"New York Knicks\"\n ],\n [\n \"New York Knicks\",\n \"based in\",\n \"New York City\"\n ],\n [\n \"New York City\",\n \"place of death\",\n \"Miriam Hopkins\"\n... |
[
"Q243705",
"P39",
"Q14211"
] | [
"Q237829",
"P39",
"Q14211"
] | [
"Q237829",
"P40",
"Q75252307"
] | [
"Robert Gascoyne-Cecil, 3rd Marquess of Salisbury",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Edward Smith-Stanley, 14th Earl of Derby",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Edward Smith-Stanley, 14th Earl of Derby",
"child",
"Lady Emma Stanley"
] | 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 Robert Gascoyne-Cecil, 3rd Marquess of Salisbury, and someone who is the parent of Lady Emma Stanley? | Robert Gascoyne-Cecil, 3rd Marquess of Salisbury | Lady Emma Stanley | child | Query: What are different ways of connecting Robert Gascoyne-Cecil, 3rd Marquess of Salisbury, and someone who is the parent of Lady Emma Stanley?
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... | 335 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Robert Gascoyne-Cecil, 3rd Marquess of Salisbury\",\n \"served under\",\n \"Edward Stanley, 14th Earl of Derby\"\n ],\n [\n \"Edward Stanley, 14th Earl of Derby\",\n \"child\",\n \"Lady Emma Stanley\"\n ]\n ],\n \"2\": [\n ... |
[
"Q235024",
"P463",
"Q34504"
] | [
"Q233793",
"P463",
"Q34504"
] | [
"Q233793",
"P106",
"Q855091"
] | [
"Katrin Siska",
"member of",
"Vanilla Ninja"
] | [
"Lenna Kuurmaa",
"member of",
"Vanilla Ninja"
] | [
"Lenna Kuurmaa",
"occupation",
"guitarist"
] | Q34504__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 Katrin Siska, a notable figure, and someone who is known for their work as a guitarist? | Katrin Siska | guitarist | occupation | Query: What are different ways of connecting Katrin Siska, a notable figure, and someone who is known for their work as a guitarist?
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 conti... | 336 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Katrin Siska\", \"member of\", \"Vanilla Ninja\"],\n [\"Vanilla Ninja\", \"has member\", \"Lenna Kuurmaa\"],\n [\"Lenna Kuurmaa\", \"occupation\", \"guitarist\"]\n ],\n \"2\": [\n [\"Katrin Siska\", \"member of\", \"Vanilla Ninja\"],\n [\"Vanilla Ninja\"... |
[
"Q4112404",
"P40",
"Q1124"
] | [
"Q4112334",
"P40",
"Q1124"
] | [
"Q4112334",
"P69",
"Q2001231"
] | [
"William Jefferson Blythe Jr.",
"child",
"Bill Clinton"
] | [
"Virginia Clinton Kelley",
"child",
"Bill Clinton"
] | [
"Virginia Clinton Kelley",
"educated at",
"Northwestern State University"
] | Q1124__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 William Jefferson Blythe Jr., and someone who was educated at Northwestern State University? | William Jefferson Blythe Jr. | Northwestern State University | educated at | Query: What are different ways of connecting William Jefferson Blythe Jr., and someone who was educated at Northwestern State University?
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 ... | 337 | {"final_response": "```json\n{\n \"1\": [\n [\n \"William Jefferson Blythe Jr.\",\n \"father of\",\n \"Bill Clinton\"\n ],\n [\n \"Bill Clinton\",\n \"born in\",\n \"Arkansas\"\n ],\n [\n \"Arkansas\",\n \"contains\",\n \"University of Arkansas\"\n ],\n ... |
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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:
320 - End Index:
340
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s320__e340__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("s320_e340_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 04:50:26 using the inference pipeline with the above configuration.
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