Triple

T23469652
Position Surface form Disambiguated ID Type / Status
Subject 中央区 E569191 entity
Predicate contains P35 FINISHED
Object 銀座
銀座は東京都中央区に位置する、日本を代表する高級ショッピング街兼繁華街として知られるエリアです。
E1589904 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: 銀座 | Statement: [中央区, contains, 銀座]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 銀座
Context triple: [中央区, contains, 銀座]
  • A. 台場
    台場は、東京湾に面した臨海副都心エリアで、ショッピングモールや観覧車、科学館などの観光・娯楽施設が集まる人気の観光地です。
  • B. 大手町
    大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • C. 丸の内
    丸の内 is a central business district in Tokyo known for its concentration of major corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. 半蔵門
    半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
  • E. 六本木
    六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
  • 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: 銀座
Triple: [中央区, contains, 銀座]
Generated description
銀座は東京都中央区に位置する、日本を代表する高級ショッピング街兼繁華街として知られるエリアです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 銀座
Target entity description: 銀座は東京都中央区に位置する、日本を代表する高級ショッピング街兼繁華街として知られるエリアです。
  • A. 台場
    台場は、東京湾に面した臨海副都心エリアで、ショッピングモールや観覧車、科学館などの観光・娯楽施設が集まる人気の観光地です。
  • B. 大手町
    大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • C. 丸の内
    丸の内 is a central business district in Tokyo known for its concentration of major corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. 半蔵門
    半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
  • E. 六本木
    六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6feb5688190ad4ce42fc9590adb completed April 29, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8256ede08190a95e0074245e9eff completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6efb0d88190bf15b18cc3f12482 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:54 p.m.