Triple

T6696542
Position Surface form Disambiguated ID Type / Status
Subject NHK E152763 entity
Predicate operatesRadioNetwork P5033 FINISHED
Object NHK FM E155414 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 FM | Statement: [NHK, operatesRadioNetwork, NHK FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHK FM
Context triple: [NHK, operatesRadioNetwork, NHK FM]
  • A. NHK-FM chosen
    NHK-FM is Japan’s national public FM radio network operated by NHK, known for its focus on classical music, jazz, and cultural programming.
  • B. NHK Radio 1
    NHK Radio 1 is Japan’s primary national radio station operated by NHK, offering news, current affairs, and public service programming across the country.
  • C. NHK Radio 2
    NHK Radio 2 is a Japanese public radio station operated by NHK that focuses on educational, cultural, and language-learning programming.
  • D. NHK
    NHK is Japan's national public broadcasting organization, operating multiple television and radio networks domestically and internationally.
  • E. NHK BS1
    NHK BS1 is a Japanese public satellite television channel operated by NHK, known for its extensive news, sports, and international programming.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a3a2408190bb7be4613f896bdc completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af2ede08190821fd599a3bfc879 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:05 p.m.