Triple

T6728094
Position Surface form Disambiguated ID Type / Status
Subject NHK Radio 2 E153566 entity
Predicate alsoKnownAs P39 FINISHED
Object NHK Radio Second E153566 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 Radio Second | Statement: [NHK Radio 2, alsoKnownAs, NHK Radio Second]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHK Radio Second
Context triple: [NHK Radio 2, alsoKnownAs, NHK Radio Second]
  • A. NHK Radio 2 chosen
    NHK Radio 2 is a Japanese public radio station operated by NHK that focuses on educational, cultural, and language-learning 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-FM
    NHK-FM is Japan’s national public FM radio network operated by NHK, known for its focus on classical music, jazz, and cultural programming.
  • D. NHK
    NHK is Japan's national public broadcasting organization, operating multiple television and radio networks domestically and internationally.
  • E. NHK World Radio Japan
    NHK World Radio Japan is Japan’s international broadcasting service that provides news, information, and cultural programming to global audiences in multiple languages.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d153ef9c8190a31021227d814d82 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742444c3081908121fb01c93551f0 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 2:08 p.m.