Triple

T1272758
Position Surface form Disambiguated ID Type / Status
Subject Tonkin E15745 entity
Predicate historicalNameInChinese P4878 FINISHED
Object 東京 E5560 NE FINISHED

How this triple was built (3 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: 東京 | Statement: [Tonkin, historicalNameInChinese, 東京]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京
Context triple: [Tonkin, historicalNameInChinese, 東京]
  • A. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • C. Kyoto
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • D. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • E. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalNameInChinese
Context triple: [Tonkin, historicalNameInChinese, 東京]
  • A. historicallyRecognizedAs
    Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
  • B. nameInChinese chosen
    Indicates that an entity has a specific written name or label expressed in the Chinese language.
  • C. ChineseNameTraditional
    Indicates that an entity’s name is given in traditional Chinese characters.
  • D. hasTraditionalName
    Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
  • E. ancientNameOf
    Indicates that one entity is the historical or ancient name by which the other entity was formerly known.
  • F. None of above.

Provenance (4 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ebe47f081909d53dead07879b77 completed March 9, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69a4bee0be808190a8ccac6a41851fdd completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.