Triple

T3659471
Position Surface form Disambiguated ID Type / Status
Subject BBC Radio 1 E77612 entity
Predicate hasSubBrand P6092 FINISHED
Object BBC Radio 1 Dance E77612 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: BBC Radio 1 Dance | Statement: [BBC Radio 1, hasSubBrand, BBC Radio 1 Dance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 1 Dance
Context triple: [BBC Radio 1, hasSubBrand, BBC Radio 1 Dance]
  • A. BBC Radio 1 chosen
    BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented programming.
  • B. Amsterdam Dance and Music
    Amsterdam Dance and Music is the phrase behind the name of Amsterdam’s A’DAM Tower, reflecting the city’s vibrant electronic music and nightlife culture.
  • C. BBC Radio and Music
    BBC Radio and Music is the BBC division responsible for overseeing the corporation’s UK radio stations and music-related content and strategy.
  • D. Big Room
    Big Room is the largest and most famous underground chamber in Carlsbad Caverns, renowned for its vast size and spectacular limestone formations.
  • E. The Haçienda
    The Haçienda was a legendary Manchester nightclub and music venue that became a central hub of the 1980s and early 1990s UK rave and Madchester scenes.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48842b28881908c6a077cfaa8b092 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.