Triple

T7024253
Position Surface form Disambiguated ID Type / Status
Subject 町村信孝 E162903 entity
Predicate 死去地 P49295 FINISHED
Object 日本・東京都 E27983 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: 日本・東京都 | Statement: [町村信孝, 死去地, 日本・東京都]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 日本・東京都
Context triple: [町村信孝, 死去地, 日本・東京都]
  • A. 日本・東京都港区
    日本・東京都港区は、東京湾に面し多くの大企業本社や大使館、商業施設が集まる東京都心の主要な行政区の一つです。
  • B. Tokyo Prefecture chosen
    Tokyo Prefecture is Japan’s capital metropolitan region, encompassing the city of Tokyo and serving as the country’s political, economic, and cultural center.
  • C. Japan
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • D. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • E. Kansai, Japan
    Kansai, Japan is a major region in western Honshu known for historic cities like Kyoto, Osaka, and Nara, rich cultural heritage, and significant economic and cultural influence.
  • 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: 死去地
Context triple: [町村信孝, 死去地, 日本・東京都]
  • A. 死没地 chosen
    Indicates the place where an entity died or passed away.
  • B. deathPrecedes
    Indicates that one entity’s death occurs earlier in time than another specified event or entity’s death.
  • C. 濒临
    Indicates being on the verge of or very close to (typically a negative or critical state or outcome).
  • D. wasLeftForDeadBy
    Indicates that one entity abandoned another in a life-threatening situation, assuming or intending that the abandoned entity would die.
  • E. deathDescribedIn
    Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e5ecd4488190bf19e42de55da98b completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77581e2a88190ad2ec9855772c6a5 completed March 28, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69c6e1b8118481909d76eb6616160e80 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:35 p.m.