Triple

T14300510
Position Surface form Disambiguated ID Type / Status
Subject Breakfast Time E354548 entity
Predicate productionCompany P490 FINISHED
Object BBC News 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 News | Statement: [Breakfast Time, productionCompany, BBC News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC News
Context triple: [Breakfast Time, productionCompany, BBC News]
  • A. BBC News Centre
    BBC News Centre is the main hub for BBC’s national and international news operations, housing its newsrooms, studios, and production facilities.
  • B. BBC World News
    BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
  • C. 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.
  • D. BBC
    BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
  • E. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb9947481909cd16aa1d719fbe5 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:11 a.m.