Triple

T21685299
Position Surface form Disambiguated ID Type / Status
Subject 朝鮮総督府 E535213 entity
Predicate 政策 P79029 FINISHED
Object 土地調査事業
土地調査事業は、日本の植民地支配下で朝鮮半島の土地所有権を再編・把握し、租税徴収や土地収奪を容易にすることを目的として実施された大規模な土地調査・登記事業である。
E1497216 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 土地調査事業 | Statement: [朝鮮総督府, 政策, 土地調査事業]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 土地調査事業
Context triple: [朝鮮総督府, 政策, 土地調査事業]
  • A. Lands Department
    The Lands Department is a government agency responsible for land administration, allocation, and related services within its jurisdiction.
  • B. National Land Agency of Japan
    The National Land Agency of Japan was a former government body responsible for national land-use planning, development, and coordination before its functions were absorbed into the Ministry of Land, Infrastructure, Transport and Tourism.
  • C. Land
    Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
  • D. Land
    Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
  • E. Land
    "Land" is a poem by Seamus Heaney that reflects on the Irish landscape and rural life, blending physical detail with themes of history and identity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 土地調査事業
Triple: [朝鮮総督府, 政策, 土地調査事業]
Generated description
土地調査事業は、日本の植民地支配下で朝鮮半島の土地所有権を再編・把握し、租税徴収や土地収奪を容易にすることを目的として実施された大規模な土地調査・登記事業である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 土地調査事業
Target entity description: 土地調査事業は、日本の植民地支配下で朝鮮半島の土地所有権を再編・把握し、租税徴収や土地収奪を容易にすることを目的として実施された大規模な土地調査・登記事業である。
  • A. Lands Department
    The Lands Department is a government agency responsible for land administration, allocation, and related services within its jurisdiction.
  • B. National Land Agency of Japan
    The National Land Agency of Japan was a former government body responsible for national land-use planning, development, and coordination before its functions were absorbed into the Ministry of Land, Infrastructure, Transport and Tourism.
  • C. Land
    Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
  • D. Land
    Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
  • E. Land
    "Land" is a poem by Seamus Heaney that reflects on the Irish landscape and rural life, blending physical detail with themes of history and identity.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96ca668481909f53853c7a8ea811 completed April 27, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e1ec8f881909fe66005ff445760 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1ee2662c8190887c9fd2073fcd12 completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fb328e081908b39b4c85cb23d1e completed May 17, 2026, 8:06 p.m.
Created at: April 16, 2026, 6:44 p.m.