Triple

T23469496
Position Surface form Disambiguated ID Type / Status
Subject Ningyōchō E569188 entity
Predicate hasJapaneseName P9882 FINISHED
Object 人形町
人形町は、東京都中央区に位置し、老舗の飲食店や人形芝居の歴史を色濃く残す下町情緒あふれる街です。
E1589903 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: 人形町 | Statement: [Ningyōchō, hasJapaneseName, 人形町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 人形町
Context triple: [Ningyōchō, hasJapaneseName, 人形町]
  • A. 神保町
    神保町 is a Tokyo neighborhood famed as Japan’s largest used-book district, lined with countless bookstores, publishers, and cozy cafés.
  • B. 有楽町
    有楽町は、東京都千代田区に位置し、オフィス街や商業施設、劇場などが集まる繁華な都心エリアです。
  • C. 隼町
    隼町は、東京都千代田区に位置し、国立劇場や最高裁判所などの中枢機関が集まる官庁街として知られる地域です。
  • D. 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.
  • E. 番町地区
    番町地区 is a historic and upscale residential and educational area in central Tokyo’s Chiyoda ward, known for its embassies, schools, and proximity to the Imperial Palace.
  • 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: 人形町
Triple: [Ningyōchō, hasJapaneseName, 人形町]
Generated description
人形町は、東京都中央区に位置し、老舗の飲食店や人形芝居の歴史を色濃く残す下町情緒あふれる街です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 人形町
Target entity description: 人形町は、東京都中央区に位置し、老舗の飲食店や人形芝居の歴史を色濃く残す下町情緒あふれる街です。
  • A. 神保町
    神保町 is a Tokyo neighborhood famed as Japan’s largest used-book district, lined with countless bookstores, publishers, and cozy cafés.
  • B. 有楽町
    有楽町は、東京都千代田区に位置し、オフィス街や商業施設、劇場などが集まる繁華な都心エリアです。
  • C. 隼町
    隼町は、東京都千代田区に位置し、国立劇場や最高裁判所などの中枢機関が集まる官庁街として知られる地域です。
  • D. 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.
  • E. 番町地区
    番町地区 is a historic and upscale residential and educational area in central Tokyo’s Chiyoda ward, known for its embassies, schools, and proximity to the Imperial Palace.
  • 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.