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[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nDonal O'Ceallaigh discovered 15788 1993 SB which has an epoch date of March 6th, 2006. The periapsis of 15788 1993 SB is 3,997,100,000,000 kilometres and it has an apoapsis of 7,715,100,000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Donal_O'Ceallaigh\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nDonal O'Ceallaigh discovered (15788) 1993 SB, which has an epoch date of March 6th 2006, an orbital period of 7729430000.0, a periapsis of 3997100000000.0, and an apoapsis of 7715100000.0 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Donal_O'Ceallaigh\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (15788) 1993 SB has an epoch date of 6 March 2006 and was discovered by Donal O Ceallaigh. It has an orbital period of 7729430000, a periapsis of 997100000000 and an apoapsis of 7715100000.0 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Donal_O'Ceallaigh\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nIwan P William discovered (15788) 1993 SB which has an epoch date of 6 March 2006 and an orbital period of 7729430000.0. The periapsis measures 3997100000000.0 and the apoapsis is 7715100000.0 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Iwan_P._Williams\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n15788 1993 SB was discovered by Iwan P Williams and has an epoch date of 6 March 2006. The orbital period is 772943000, the periapsis is 3997100000000.0 and the apoapsis 7715100000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Iwan_P._Williams\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n15788 1993 SB was discovered by Iwan P Williams. Its orbital period is 7729430000, periapsis is 3997100000000, apoapsis is 7715100000 km, and its epoch is on the 6th of March, 2006."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Iwan_P._Williams\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(15788) 1993 SB was discovered by Roque de los Muchachos Observatory and has the epoch date 6 March 2006 and an orbital period of 7729430000.0. The measurement of the periapsis is 3997100000000.0 and the apoapsis 7715100000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Roque_de_los_Muchachos_Observatory\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (15788) 1993 SB has a periapsis of 3997100000000 and an apoapsis of 7715100000.0 (kilometres). Discovered by Roque de los Muchachos Observatory, (15788) 1993 SB has an orbital periodd of 7729430000.0 and its epoch is 6th March 2006."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Roque_de_los_Muchachos_Observatory\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(15788) 1993 SB has an orbital period of 7729430000.0,its epoch date was on March 6th 2006 and was discovered by Roque de los Muchachos Observatory.It has a periapsis of 3997100000000.0. and its apoapsis is 7715100000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Roque_de_los_Muchachos_Observatory\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nAlan Fitzsimmons discovered 15788 1993 SB which has an epoch of March 6th,2006 and an orbital period of 7,729,430,000 kilometres. Its periapsis is 3,997,100,000,000 kilometres and it has an apoapsis of 7,715,100,000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Alan_Fitzsimmons\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(15788) 1993 SB, which was discovered by Alan Fitzsimmons, has an epoch date of March 6th 2006 and an orbital period of 7729430000.0. The measurement of the apoapsis and periapsis is 7715100000 and 3997100000000.0 kms respectively."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Alan_Fitzsimmons\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (15788) 1993 SB, discovered by Alan Fitzsimmons, has a periapsis of 3997100000000, an epoch date of March 6th 2006, an apoapsis of 7715100000 km, and an orbital period of 7729430000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(15788) 1993 SB\", \"predicate\": \"orbitalPeriod\", \"object\": \"7729430000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"periapsis\", \"object\": \"3997100000000.0\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"epoch\", \"object\": \"2006-03-06\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"discoverer\", \"object\": \"Alan_Fitzsimmons\"}, {\"subject\": \"(15788) 1993 SB\", \"predicate\": \"apoapsis\", \"object\": \"7715100000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n19255 1994 VK8 has a mass of 5.6 kilograms and an an orbital period of 8,788,850,000 days. Its escape velocity is .0925 kilometres per second, it has an apoapsis of 6,603,633,000 kilometres and an epoch of December 31st, 2006."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0925 (kilometrePerSeconds)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"apoapsis\", \"object\": \"6603633000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n19255 1994 VK8 has a mass of 5.6kg,an orbital period of 8788850000.0 and its epoch date was on 31 December 2006.It has a periapsis of 6155910000000.0 and its apoapsis is 6603633000.0 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"periapsis\", \"object\": \"6155910000000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"apoapsis\", \"object\": \"6603633000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of 19255 1994 VK8, which has a mass of 5.6 kilograms is December 31st, 2006. Its orbital period is 8,788,850,000 kilometres, with a periapsis of 6,155,910,000,000 kilometres and an apoapsis of 6,603,633,000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"periapsis\", \"object\": \"6155910000000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"apoapsis\", \"object\": \"6603633000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n19255 1994 VK8 has a mass of 5.6kg,an orbital period of 8788850000.0 and its epoch date was on 31 December 2006.It has a periapsis of 6155910000000.0 and its apoapsis is 6603633000.0 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"periapsis\", \"object\": \"6155910000000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"apoapsis\", \"object\": \"6603633000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of 1994 VKB is on December 31, 2006, it has a mass of 5.6 kgs, an orbital period of 8788850000.0, a periapsis of 6155910000000.0. and escape velocity of 0.0925 km/s."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"periapsis\", \"object\": \"6155910000000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0925 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of 19255 1994 VK8, which has a mass of 5.6 kilograms, is December 31st, 2006. Its orbital period is 8,788,850,000 kilometres, has a periapsis of 6,155,910000,000 kilometres and an escape velocity of 0.0925 kilometres per second."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"periapsis\", \"object\": \"6155910000000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0925 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n19255 1994 VK8 has a mass of 5.6 kgs, an epoch of 31 December 2006, an orbital period of 8788850000.0, a periapsis of 615591000000.0 and an escape velocity of 0.0925 km per second."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"mass\", \"object\": \"5.6 (kilograms)\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"orbitalPeriod\", \"object\": \"8788850000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"periapsis\", \"object\": \"6155910000000.0\"}, {\"subject\": \"(19255) 1994 VK8\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0925 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nCarl A Wirtanen was the discoverer of 29075 1950 DA which has a 3.5 kilograms density and its epoch date was on 27 August 2011.Its periapsis is 124950000000.0 and has an orbital period of 69862200."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(29075) 1950 DA\", \"predicate\": \"discoverer\", \"object\": \"Carl_A._Wirtanen\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"epoch\", \"object\": \"2011-Aug-27\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"orbitalPeriod\", \"object\": \"69862200.0\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"periapsis\", \"object\": \"124950000000.0\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"density\", \"object\": \"3.5 (kilograms)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(29075) 1950 DA was discovered by Carl A Wirtanen,has a density of 3.5 kilograms and its epoch date was on 27 August 2011.It has an orbital period of 69862200.0 and its periapsis is 124950000000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(29075) 1950 DA\", \"predicate\": \"discoverer\", \"object\": \"Carl_A._Wirtanen\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"epoch\", \"object\": \"2011-Aug-27\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"orbitalPeriod\", \"object\": \"69862200.0\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"periapsis\", \"object\": \"124950000000.0\"}, {\"subject\": \"(29075) 1950 DA\", \"predicate\": \"density\", \"object\": \"3.5 (kilograms)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n410777 2009 FD was discovered by Spacewatch and has an epoch date of June 27th, 2015. Its mass is 8.3 kilograms, it has an orbital period of 39,447,000 kilometres and an apoapsis of 259,776,702.47055 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(410777) 2009 FD\", \"predicate\": \"discoverer\", \"object\": \"Spacewatch\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"mass\", \"object\": \"8.3 (kilograms)\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"orbitalPeriod\", \"object\": \"39447000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"apoapsis\", \"object\": \"259776702.47055 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n410777 2009 FD, discovered by Spacewatch, has an epoch date of 27 June 2015, a mass of 8.3 kgs, an orbital period of 39447000.0, and an apoapsis of 259776702.47055 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(410777) 2009 FD\", \"predicate\": \"discoverer\", \"object\": \"Spacewatch\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"mass\", \"object\": \"8.3 (kilograms)\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"orbitalPeriod\", \"object\": \"39447000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"apoapsis\", \"object\": \"259776702.47055 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (410777) 2009 FD was discovered by Spacewatch and has the epoch date 27 June 2015. It has an orbital period of 39447000, an apoapsis of 259776702.47055 kms and a periapsis of 88234300000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(410777) 2009 FD\", \"predicate\": \"orbitalPeriod\", \"object\": \"39447000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"periapsis\", \"object\": \"88234300000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"discoverer\", \"object\": \"Spacewatch\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"apoapsis\", \"object\": \"259776702.47055 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (410777) 2009 FD, discovered by Spacewatch, has an orbital period of 39447000, a periapsis of 88234300000.0, an epoch date of 27 June 2015, and an apoapsis of 259776702.47055 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(410777) 2009 FD\", \"predicate\": \"orbitalPeriod\", \"object\": \"39447000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"periapsis\", \"object\": \"88234300000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"discoverer\", \"object\": \"Spacewatch\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"apoapsis\", \"object\": \"259776702.47055 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n410777 2009 FD, a celestial body, was discovered by Spacewatch. Its orbital period is 39447000, periapsis is 88234300000, apoapsis is 259776702.47055 km, and its epoch is on the 27th of June, 2015."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(410777) 2009 FD\", \"predicate\": \"orbitalPeriod\", \"object\": \"39447000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"periapsis\", \"object\": \"88234300000.0\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"discoverer\", \"object\": \"Spacewatch\"}, {\"subject\": \"(410777) 2009 FD\", \"predicate\": \"apoapsis\", \"object\": \"259776702.47055 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe Lincoln Near-Earth Asteroid Research centre discovered asteroid 66063 1998 RO1 and used to be called 1999 SN5. It has an epoch date of November 4th, 2013 and an orbital period of 360.29 days and a periapsis of 41,498,400,000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"discoverer\", \"object\": \"Lincoln_Near-Earth_Asteroid_Research\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nLincoln Near-Earth Asteroid Research discovered the asteroid (66063) 1998 RO1 which was formerly called 1999 SN5. This celestial body has an epoch date of 4 November 2013, an orbital period lasting 360.29 days and a periapsis of 41498400000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"discoverer\", \"object\": \"Lincoln_Near-Earth_Asteroid_Research\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (66063) 1998 RO1, which has an epoch date of 4 November 2013, was formerly called 1999 SN5 and was discovered by Lincoln Near-Earth Asteroid Research. It has a periapsis measuring 41498400000.0 and an orbital period of 360.29 days."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"discoverer\", \"object\": \"Lincoln_Near-Earth_Asteroid_Research\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of (66063) 1998 RO1, formerly known as 1999 SN5, is on the 13th of January 2016. (66063) 1998 RO1 has an orbital period of 360.29 days, a periapsis measuring 41498400000.0, and an apoapsis of 254989570.60815 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n66063 1998 RO1, formerly known as 1999 SN5, has an epoch date of 4 November 2013 and an orbital period of 360.29 days. The periapsis is 41498400000 and its apoapsis is 254989570.60815 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as (66063) 1998 RO1 was formerly called 1999 SN5 and has the epoch date 13 January 2016 and an orbital period of 360.29 days. It has a periapsis measurement of 41498400000 and the apoapsis is 254989570.60815 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66063) 1998 RO1-former name \"1999 SN5\"- has an orbital period of 360.29 days and its epoch date was on 13th January 2016.Its periapsis is 41498400000.0 Gm and it has an escape velocity of 0.0999 km/s."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0999 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n66063 1998 RO1 was previously named 1999 SN5. Its orbital period is 360.29 days, periapsis is 41498400000, escape velocity is 0.0999 km/s, and its epoch is on 2013-11-04."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0999 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n66063 1998 RO1 has an epoch date of 4 November 2013 and was formerly known as 1999 SN5. It has an orbital period of 360.29 days, an escape velocity of 0.0999 km per sec and a periapsis of 41498400000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"formerName\", \"object\": \"1999 SN5\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0999 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66063) 1998 RO1, which has the epoch date of 4 November 2013, has a mean temperature of 265 kelvins and an orbital period of 360.29 days. The asteroid has a periapsis measurement of 41498400000.0 and an apoapsis of 254989570.60815 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"meanTemperature\", \"object\": \"265.0 (kelvins)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66063) 1998 RO1, with a mean temperature of 265 kelvins and an orbital period of 360.29 days, has the epoch date 13th January 2016. The periapsis of (66063) 1998 RO1 measures 41498400000.0 and its apoapsis is 254989570.60815 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"meanTemperature\", \"object\": \"265.0 (kelvins)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66063) 1998 RO1 has a mean temperature of 265 kelvins,an orbital period of 360.29 days and its epoch date was on 4 November 2013.It has an apoapsis of 254989570.60815 kilometres and its periapsis is 41498400000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"meanTemperature\", \"object\": \"265.0 (kelvins)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66063) 1998 RO1 which has an orbital period of 360.29 days and an escape velocity of 0.0999 km per sec, has the epoch date of 4 November 2013. The asteroid has a periapsis of 41498400000.0 and apoapsis of 254989570.60815 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0999 (kilometrePerSeconds)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n66063 1998 RO1 has an orbital period of 360.29 days and a periapsis of 41498400000, its epoch is on the 13th of January 2016. It has an escape velocity of 0.0999 km/s and an apoapsis of 254989570.60815 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"orbitalPeriod\", \"object\": \"360.29 (days)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"periapsis\", \"object\": \"41498400000.0\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"epoch\", \"object\": \"2013-11-04\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0999 (kilometrePerSeconds)\"}, {\"subject\": \"(66063) 1998 RO1\", \"predicate\": \"apoapsis\", \"object\": \"254989570.60815 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66391) 199 KW4 has an epoch date of July 14th 2004 and has a periapsis of 29919600000.0. It's escape velocity is 0, orbital period is 16244700.0 and has an apoapsis measurement of 162164091.8388 (kilometres)."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"epoch\", \"object\": \"2004-07-14\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"orbitalPeriod\", \"object\": \"16244700.0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"periapsis\", \"object\": \"29919600000.0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"escapeVelocity\", \"object\": \"0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"apoapsis\", \"object\": \"162164091.8388 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66391) 1999 KW4 has an orbital period of 16244700,a 0 escape velocity and its epoch date was on July 14th 2004.It has a periapsis of 29919600000.0 and its apoapsis is 162164091.8388 (kilometres)."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"epoch\", \"object\": \"2004-07-14\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"orbitalPeriod\", \"object\": \"16244700.0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"periapsis\", \"object\": \"29919600000.0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"escapeVelocity\", \"object\": \"0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"apoapsis\", \"object\": \"162164091.8388 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n(66391) 1999 KW4 has an escape velocity of 0,an orbital period of 16244700 and its epoch date was on July 14th 2004.Its periapsis is 29919600000.0 and its apoapsis is 162164091.8388 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"epoch\", \"object\": \"2004-07-14\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"orbitalPeriod\", \"object\": \"16244700.0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"periapsis\", \"object\": \"29919600000.0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"escapeVelocity\", \"object\": \"0\"}, {\"subject\": \"(66391) 1999 KW4\", \"predicate\": \"apoapsis\", \"object\": \"162164091.8388 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1000 Piazzia-former name \"1923 NZ1951 OB\"- has an escape velocity of 0.0252 kilometres per second and its epoch date was on 2015-06-27.It has an orbital period of 488160.0 and its periapsis is 352497000000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"formerName\", \"object\": \"1923 NZ1951 OB\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of the dark asteroid 1000 Piazzia is June 27th, 2015. Its former name is 1923 NZ1951 OB and its has an escape velocity of .0252 kilometres per second while its periapsis is 352,497,000,000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"formerName\", \"object\": \"1923 NZ1951 OB\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of 1000 Piazzia, which was formerly called 1923 NZ1951 OB, is June 27th, 2015. Its escape velocity is .0252 kilometres per second, it has an orbital period of 488,160 and a periapsis of 352,497,000,000 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"formerName\", \"object\": \"1923 NZ1951 OB\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1967 ED was the former name of 1000 Piazzia which has an epoch date of 27 June 2015 and an orbital period of 488160.0. The escape velocity is 0.0252 km per sec and the periapsis measurement is 352497000000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"formerName\", \"object\": \"1967 ED\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe dark asteroid 1000 Piazzia, formerly known as \"1967 ED\", has an orbital period of 488160.0, a periapsis of 352497000000.0, and an escape Velocity of 0.0252 km/sec. The epoch of 1000 Piazzia is 2015-06-27."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"formerName\", \"object\": \"1967 ED\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1000 Piazzia(formerly known as 1967 ED) has an epoch of June 27, 2015 and an orbital period of 488160. It has an escape velocity of 0.0252 km/sec and a periapsis of 352497000000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"formerName\", \"object\": \"1967 ED\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe dark asteroid called 1000 Piazzia which has the epoch of 27 June 2015 has an orbital period of 488160.0. It also has a mass of 1.1kg, a periapsis of 352497000000.0 and an escape velocity of 0.0252 km per sec."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"mass\", \"object\": \"1.1 (kilograms)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1000 Piazzia, which has the epoch date of 27 June 2015, has a mass of 1.1 kgs and an orbital period of 4881060.0. The escape velocity is 0.0252 km per sec and a periapsis of 352497000000.0."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"mass\", \"object\": \"1.1 (kilograms)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe dark asteroid 1000 Piazzia has an epoch date of 27 June 2015 and a mass of 1.1 kg. It's orbital period is 488160.0, the periapsis is 352497000000.0 and it has the escape velocity of 0.0252 km per sec."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1000 Piazzia\", \"predicate\": \"mass\", \"object\": \"1.1 (kilograms)\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"orbitalPeriod\", \"object\": \"488160.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"periapsis\", \"object\": \"352497000000.0\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1000 Piazzia\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0252 (kilometrePerSeconds)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1001 Gaussia, formerly known as \"1923 OAA907 XC\", was discovered by Sergey Belyavsky. It has a periapsis of 419113394.55312 kilometres and an orbital period of 5.75 days. Its epoch is on 31st July 2016."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"formerName\", \"object\": \"1923 OAA907 XC\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nSergey Belyavsky discovered 1001 Gaussia (formerly known as 1923 OAA907 XC) on its epoch date of July 31, 2016. It's orbital period is 5.75 days and has a periapsis of 419113394.55312 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"formerName\", \"object\": \"1923 OAA907 XC\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nSergey Belyavsky discovered 1001 Gaussia-formerly called A911 MD-whose epoch date was on 30 July 2016.It has an orbital period of 5.75 days and its periapsis is 419113394.55312 (kilometres)."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"formerName\", \"object\": \"A911 MD\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1001 Gaussia was formerly known as A911 MD and has the epoch date of 31 July 2016. It was discovered by Sergey Belyavsky and has the orbital period of 5.75 days with a periapsis of 419113394.55312 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"formerName\", \"object\": \"A911 MD\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nSergey Belyavsky discovered 1001 Gaussia which has an epoch date of 27 June 2015 and an orbital period of 5.75 days. It has an absolute magnitude of 9.7 and a periapsis of 419113394.55312 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"absoluteMagnitude\", \"object\": \"9.7\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe celestial body known as 1001 Gaussia (discovered by Sergey Belyavsky), has an absolute magnitude of 9.7 and an orbital period of 5.75 days. Its epoch date is 2015-06-27 and it has a periapsis of 419113394.55312 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"absoluteMagnitude\", \"object\": \"9.7\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nSergey Belyavsky discovered 1001 Gaussia which has an orbital period of 5.75 days and its epoch date was on 2015-06-27.It has an absolute magnitude of 9.7 and its periapsis is 419113394.55312 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1001 Gaussia\", \"predicate\": \"discoverer\", \"object\": \"Sergey_Belyavsky\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"epoch\", \"object\": \"2015-06-27\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"orbitalPeriod\", \"object\": \"5.75 (days)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"periapsis\", \"object\": \"419113394.55312 (kilometres)\"}, {\"subject\": \"1001 Gaussia\", \"predicate\": \"absoluteMagnitude\", \"object\": \"9.7\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena was discovered by James Craig Watson, a Canadian national and graduate of the University of Michigan who died in Madison, Wisconsin. 101 Helena has an absolute magnitude of 8.33."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"absoluteMagnitude\", \"object\": \"8.33\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe discoverer of 101 Helena is James Craig Watson, a Canadian, whose Alma mater is the University of Michigan. He died in Madison, Wisconsin. 101 Helena has an absolute magnitude of 8.33."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"absoluteMagnitude\", \"object\": \"8.33\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena, with an absolute magnitude of 8.33, was discovered by the Canadian James Craig Watson, who studied at the University of Michigan and died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"absoluteMagnitude\", \"object\": \"8.33\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson, who discovered 101 Helena on 15th August 1868, is a Canadian national who attended the University of Michigan. He died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"discovered\", \"object\": \"1868-08-15\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena was discovered by the Canadian James Craig Watson on August 15th 1868. Mr Watson, who studied at the University of Michigan, died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"discovered\", \"object\": \"1868-08-15\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nCanadian James Craig Watson discovered 101 Helena on August 15th, 1868. He attended the University of Michigan and died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"discovered\", \"object\": \"1868-08-15\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson is a Canadian national who studied at the University of Michigan. He was the discoverer of 101 Helena, which has an epoch date of December 31, 2006. Watson died in Madison Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena was discovered James Craig Watson , a Canadian who studied at the University of Michigan and died in Madison, Wisconsin. Its epoch is 2006-12-31."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson was the discoverer of 101 Helena that has the epoch date of 31 December 2006. He was a Canadian who studied at the University of Michigan and later died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson was a canadian national who discovered the 101 Helena which has a orbital period of 1516.670000000003 days. He studied at the university of Michigan and died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWith an orbit of 1516.6700000000003 days, 101 Helena, was discovered by James Craig Watson. A Canadian, his alma mater was the University of Michigan and he died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe discoverer of 101 Helena is James Craig Watson, a Canadian national and graduate of the University of Michigan who died in Madison, Wisconsin. 101 Helena has an orbital period of 1516.6700000000003 days."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson was a Canadian who graduated from the University of Michigan and later died in Madison, Wisconsin. He was the discoverer of 101 Helena which has a periapsis of 331683000.0 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"periapsis\", \"object\": \"331683000.0 (kilometres)\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson was a Canadian national,who studied at the University of Michigan and died in Madison,Wisconsin.He discovered 101 Helena which has a periapsis of 331683000.0 (kilometres)."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"periapsis\", \"object\": \"331683000.0 (kilometres)\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena has a periapsis of 331683000.0 kms and was discovered by the Canadian national, James Craig Watson. Watson's alma mater was the University of Michigan and he eventually died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"101 Helena\", \"predicate\": \"periapsis\", \"object\": \"331683000.0 (kilometres)\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe discoverer of 101 Helena is the Canadian James Craig Watson, who studied at the University of Michigan and died in Madison, Wisconsin. The apoapsis of 101 Helena is 441092000.0 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena, which has an apoapsis of 441092000.0 kms was discovered by the Canadian National, James Craig Watson. His alma mater was the University of Michigan and he died in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena has an apoapsis of 441092000.0 kilometres and was discovered by James Craig Watson.Watson is a Canadian National and studied at the University of Michigan and died in Madison,Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"nationality\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Craig Watson, who discovered 101 Helena, originated from Canada and studied at the University of Michigan. He died in Madison, Wisconsin from peritonitis."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"stateOfOrigin\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathCause\", \"object\": \"Peritonitis\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena was discovered by James Craig Watson who originated from Canada and graduated from the University of Michigan. He later died of peritonitis in Madison, Wisconsin."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"stateOfOrigin\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathCause\", \"object\": \"Peritonitis\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nJames Criag Watson originates from Canada and died from peritonitis in Madison,Wisconsin.His alma mater was the University of Michigan and he discovered 101 Helena."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"discoverer\", \"object\": \"James_Craig_Watson\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"almaMater\", \"object\": \"University_of_Michigan\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"stateOfOrigin\", \"object\": \"Canada\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathPlace\", \"object\": \"Madison,_Wisconsin\"}, {\"subject\": \"James Craig Watson\", \"predicate\": \"deathCause\", \"object\": \"Peritonitis\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nThe epoch of 101 Helena is 2006-12-31. It has a mass of 3.0 kgs, an orbital period of 1516.6700000000003 (days), an escape velocity of 0.0348 km per sec and an apoapsis of 441092000.0 (kilometres)."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"101 Helena\", \"predicate\": \"mass\", \"object\": \"3.0 (kilograms)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0348 (kilometrePerSeconds)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena, which has the epoch date 31 December 2006, has a mass of 3 kgs and an orbit of 1516.6700000000003 days. It's escape velocity is 0.0348 km per sec and the apoapsis measurement is 441092000.0 kilometres."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"101 Helena\", \"predicate\": \"mass\", \"object\": \"3.0 (kilograms)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0348 (kilometrePerSeconds)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena has a mass of 3.0 kilograms,an orbital period of 1516.6700000000003 days and its epoch date was on 2006-12-31.Its apoapsis is 441092000.0 kilometres and it has an escape velocity of 0.0348 km/s."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"101 Helena\", \"predicate\": \"mass\", \"object\": \"3.0 (kilograms)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"escapeVelocity\", \"object\": \"0.0348 (kilometrePerSeconds)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena has an epoch of 2006-12-31, a mass of 3.0 kg, an orbit of 1516.6700000000003 days, a periapsis of 331683000.0 km, and an apoapsis of 441092000.0 km."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"101 Helena\", \"predicate\": \"mass\", \"object\": \"3.0 (kilograms)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"periapsis\", \"object\": \"331683000.0 (kilometres)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n101 Helena has the epoch date of 31 December 2006 and a mass of 3 kgs. It has an orbit of 1516.6700000000003 days, a periapsis of 331683000.0 km and an apoapsis of 441092000.0 kms."
},
{
"from": "gpt",
"value": "[{\"subject\": \"101 Helena\", \"predicate\": \"epoch\", \"object\": \"2006-12-31\"}, {\"subject\": \"101 Helena\", \"predicate\": \"mass\", \"object\": \"3.0 (kilograms)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"orbitalPeriod\", \"object\": \"1516.6700000000003 (days)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"periapsis\", \"object\": \"331683000.0 (kilometres)\"}, {\"subject\": \"101 Helena\", \"predicate\": \"apoapsis\", \"object\": \"441092000.0 (kilometres)\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who had a doctoral student named Allan Sandage, was born in Preußisch Oldendorf and studied at the University of Gottingen. He discovered 1036 Ganymed and later died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who had a doctoral student called Allan Sandage, discovered 1036 Ganymed. He was born in Preußisch Oldendorf and died in West Germany at the University of Gottingen."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\n1036 Ganymed was discovered by Walter Baade, who was born in Preubisch Oldendorf and died in West Germany. He studied at the University of Gottingen and one of his doctoral students was Allan Sandage."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nGerman Walter Baade discovered 1036 Ganymed. Baade died in Gottingen, was a graduate of the University of Gottingen and Allan Sandage was among his doctoral students."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"German_Empire\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who had a doctoral student named Allan Sandage, was born in the German Empire and graduated from the University of Gottingen. He discovered 1036 Ganymed and later died in Gottingen."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"German_Empire\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nAllan Sandage was a doctoral student of Walter Baade, the discoverer of 1036 Ganymed. Baade was born in the German empire and studied at the University of Gottingen, the city where he died."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"German_Empire\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nHalton Arp was a doctoral student of Walter Baade, the discoverer of 1036 Ganymed. Baade was born in the German Empire, graduated from the University of Gottingen and later died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"German_Empire\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who had a doctoral student named Halton Arp, was born in the German Empire and discovered 1036 Ganymed. His alma mater was the University of Gottingen and he later died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"German_Empire\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who had a doctoral student called Halton Arp, was the discoverer of 1036 Ganymed. He was born in the German Empire, graduated from the University of Gottingen and later died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"German_Empire\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who had a doctoral student named Halton Arp, discovered 1036 Ganymed. He was born in Preubisch Oldendorf, graduated from the University of Gottingen and later died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nHalton Arp was a doctoral student of Walter Baade, the discoverer of 1036 Ganymed. Baade was born in Preubisch Oldendorf, graduated from the University of Gottingen and died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, who was born in Preußisch Oldendorf, discovered 1036 Ganymed. He studied at the University of Gottingen, had Halton Arp as one of his doctoral students and died in Gottingen."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade (born in Preußisch Oldendorf ) graduated from University of Gottingen and died in the same city.He discovered 1036 Ganymed and Halton Arp was his doctoral student."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nWalter Baade, born in Preußisch Oldendorf and graduate of University of Gottingen, was the one to discover 1036 Ganymed. Walter Baade's doctoral student was Halton Arp. Walter Baade died in Gottingen."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"birthPlace\", \"object\": \"Preußisch_Oldendorf\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}]"
}
] |
[
{
"from": "system",
"value": "You are an expert knowledge extraction assistant. Your task is to extract all factual subject-predicate-object triples from the given text. Output only a JSON list of triples in the format: [{\"subject\": \"...\", \"predicate\": \"...\", \"object\": \"...\"}]. Do not add explanations, markdown, or extra text."
},
{
"from": "human",
"value": "The following text has been rated as high quality. Extract all subject-predicate-object triples from it:\n\nHalton Arp and Allan Sandage were doctoral students of Walter Baade, the discoverer of 1036 Ganymed. Baade graduated from the University of Gottingen and died in West Germany."
},
{
"from": "gpt",
"value": "[{\"subject\": \"1036 Ganymed\", \"predicate\": \"discoverer\", \"object\": \"Walter_Baade\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Halton_Arp\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"deathPlace\", \"object\": \"West_Germany\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"almaMater\", \"object\": \"University_of_Göttingen\"}, {\"subject\": \"Walter Baade\", \"predicate\": \"doctoralStudent\", \"object\": \"Allan_Sandage\"}]"
}
] |
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