Triple

T18506628
Position Surface form Disambiguated ID Type / Status
Subject Yahoo! Japan Corporation E452212 entity
Predicate hasSubsidiary P254 FINISHED
Object Yahoo! JAPAN News 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: Yahoo! JAPAN News | Statement: [Yahoo! Japan Corporation, hasSubsidiary, Yahoo! JAPAN News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo! JAPAN News
Context triple: [Yahoo! Japan Corporation, hasSubsidiary, Yahoo! JAPAN News]
  • A. Japanese Wikinews
    Japanese Wikinews is the Japanese-language edition of the Wikinews project, a collaboratively written, free-content news source.
  • B. Yandex News
    Yandex News is a Russian online news aggregation service that compiles and presents news stories from a wide range of local and international media sources.
  • C. Nippon newspaper
    Nippon newspaper was a Japanese newspaper best known as the workplace of influential haiku reformer and literary figure Masaoka Shiki.
  • D. NHK News 7
    NHK News 7 is a flagship evening television news program in Japan that provides national and international news coverage on NHK.
  • E. Yahoo News chosen
    Yahoo News is a major online news and media platform providing global and local coverage across politics, business, entertainment, and more as part of the Yahoo digital ecosystem.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5334266708190b59aca3a2218c095 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.