Triple

T22448242
Position Surface form Disambiguated ID Type / Status
Subject From Our Own Correspondent E554919 entity
Predicate originalNetwork P2594 FINISHED
Object BBC Radio 4 NE NERFINISHED

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 4 | Statement: [From Our Own Correspondent, originalNetwork, BBC Radio 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 4
Context triple: [From Our Own Correspondent, originalNetwork, BBC Radio 4]
  • A. BBC Radio 4 chosen
    BBC Radio 4 is a major British national radio station known for its spoken-word programming, including news, drama, comedy, and documentaries.
  • B. Ràdio 4
    Ràdio 4 is a Catalan-language public radio station based in Catalonia and operated by Spain’s national broadcaster RTVE.
  • C. BBC Radio
    BBC Radio is the British Broadcasting Corporation’s portfolio of national and local radio stations in the United Kingdom, covering a wide range of music, speech, news, and cultural programming.
  • D. BBC Radio 4 Extra
    BBC Radio 4 Extra is a British digital radio station from the BBC that specializes in archived comedy, drama, and entertainment programming.
  • E. BBC Radio 7
    BBC Radio 7 was a British digital radio station specializing in comedy, drama, and entertainment programming from the BBC archives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.