Triple

T671197
Position Surface form Disambiguated ID Type / Status
Subject BBC Radio 4 E12973 entity
Predicate sisterStation P15137 FINISHED
Object BBC World Service E14486 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 World Service | Statement: [BBC Radio 4, sisterStation, BBC World Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC World Service
Context triple: [BBC Radio 4, sisterStation, BBC World Service]
  • A. BBC chosen
    The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
  • B. BBC English
    BBC English is a prestigious accent of British English traditionally associated with educated speakers and national broadcasters in the United Kingdom.
  • C. BBC Sounds
    BBC Sounds is the BBC’s digital audio platform offering live radio, music mixes, and podcasts across web and mobile apps.
  • D. BBC Radio 4
    BBC Radio 4 is a major British national radio station known for its spoken-word programming, including news, drama, comedy, and documentaries.
  • E. BBC Alba
    BBC Alba is a Scottish Gaelic-language television channel operated by the BBC that broadcasts a mix of news, sports, and cultural 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a021b908819086f7cfe65def4728 completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6374a189c81908f7bc0828e9ff382 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.