Triple

T6570202
Position Surface form Disambiguated ID Type / Status
Subject NHK BS1 E155413 entity
Predicate sisterChannel P5818 FINISHED
Object NHK World-Japan E152763 NE FINISHED

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: NHK World-Japan | Statement: [NHK BS1, sisterChannel, NHK World-Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHK World-Japan
Context triple: [NHK BS1, sisterChannel, NHK World-Japan]
  • A. NHK chosen
    NHK is Japan's national public broadcasting organization, operating multiple television and radio networks domestically and internationally.
  • B. Nippon News Network
    Nippon News Network is a Japanese commercial television news network that provides national news programming to its affiliated stations across Japan.
  • C. NHK Educational TV
    NHK Educational TV is a Japanese public television channel operated by NHK that focuses on educational, cultural, and children’s programming.
  • D. Yomiuri Telecasting Corporation
    Yomiuri Telecasting Corporation is a major Japanese television broadcasting company based in Osaka and affiliated with the Nippon TV network.
  • E. Nippon Television Network
    Nippon Television Network is a major Japanese commercial television broadcaster based in Tokyo and part of the influential Yomiuri media conglomerate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5791e881909d0b340aa63c6223 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.