Triple

T19117936
Position Surface form Disambiguated ID Type / Status
Subject Nippon News Network E467955 entity
Predicate nativeName P15 FINISHED
Object 日本ニュースネットワーク NE NERFINISHED

How this triple was built (2 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: 日本ニュースネットワーク | Statement: [Nippon News Network, nativeName, 日本ニュースネットワーク]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 日本ニュースネットワーク
Context triple: [Nippon News Network, nativeName, 日本ニュースネットワーク]
  • A. Nippon News Network chosen
    Nippon News Network is a Japanese commercial television news network that provides national news programming to its affiliated stations across Japan.
  • B. All-Nippon News Network
    All-Nippon News Network is a Japanese commercial television news network that distributes national news programming to a group of affiliated stations across Japan.
  • C. Yomiuri Telecasting Corporation
    Yomiuri Telecasting Corporation is a major Japanese television broadcasting company based in Osaka and affiliated with the Nippon TV network.
  • D. Asahi Broadcasting Corporation
    Asahi Broadcasting Corporation is a major Japanese television and radio network based in Osaka, known for its sports coverage and affiliation with TV Asahi.
  • E. Nippon newspaper
    Nippon newspaper was a Japanese newspaper best known as the workplace of influential haiku reformer and literary figure Masaoka Shiki.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.