Triple

T12414019
Position Surface form Disambiguated ID Type / Status
Subject 民進党 E296589 entity
Predicate headquartersLocation P62 FINISHED
Object 永田町
永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
E981175 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: 永田町 | Statement: [民進党, headquartersLocation, 永田町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 永田町
Context triple: [民進党, headquartersLocation, 永田町]
  • A. 瑞穂町
    瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
  • B. 京田辺市
    京田辺市は、京都府南部に位置し、同志社大学のキャンパスなどを擁する住宅都市・学園都市として知られる市です。
  • C. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • D. 高千穂町
    高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
  • E. 豊郷町
    豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
  • 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: 永田町
Triple: [民進党, headquartersLocation, 永田町]
Generated description
永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 永田町
Target entity description: 永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
  • A. 瑞穂町
    瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
  • B. 京田辺市
    京田辺市は、京都府南部に位置し、同志社大学のキャンパスなどを擁する住宅都市・学園都市として知られる市です。
  • C. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • D. 高千穂町
    高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
  • E. 豊郷町
    豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6c4f6c8190bc99d3f7b64205c3 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d9e13881908d3d08c6cf954304 completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.