Triple

T619857
Position Surface form Disambiguated ID Type / Status
Subject BBC E14486 entity
Predicate hasDivision P35 FINISHED
Object BBC News E78090 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 News | Statement: [BBC, hasDivision, BBC News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC News
Context triple: [BBC, hasDivision, BBC News]
  • A. BBC
    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 News Channel chosen
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • C. Sky News
    Sky News is a British 24-hour television news channel and digital news service known for live breaking news coverage in the UK and internationally.
  • D. BBC News at Ten
    BBC News at Ten is the BBC’s flagship late-evening television news bulletin, providing national and international news coverage on weekdays.
  • E. BBC English
    BBC English is a prestigious accent of British English traditionally associated with educated speakers and national broadcasters in the United Kingdom.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e270b448190beb677670443b5b6 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5693312888190bdf7bfa120d22520 completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:35 p.m.