Triple

T6608604
Position Surface form Disambiguated ID Type / Status
Subject Sportsday E149180 entity
Predicate network P2637 FINISHED
Object BBC News Channel 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 Channel | Statement: [Sportsday, network, BBC News Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC News Channel
Context triple: [Sportsday, network, BBC News Channel]
  • A. BBC News Channel chosen
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • B. 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.
  • C. BBC World News
    BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
  • D. NBC News
    NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
  • E. 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.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af31c4748190ab5027771c9ce5b2 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78d41fc8190b883b83b267ec829 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 1:57 p.m.