Triple

T14389229
Position Surface form Disambiguated ID Type / Status
Subject BBC Micro E356798 entity
Predicate alsoKnownAs P39 FINISHED
Object Beeb E1097901 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: Beeb | Statement: [BBC Micro, alsoKnownAs, Beeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beeb
Context triple: [BBC Micro, alsoKnownAs, Beeb]
  • A. Beeb chosen
    Beeb is the popular nickname for the BBC Micro, an influential 1980s home computer widely used in UK education and early programming.
  • B. 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.
  • C. BBC
    BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
  • D. Ràdio 4
    Ràdio 4 is a Catalan-language public radio station based in Catalonia and operated by Spain’s national broadcaster RTVE.
  • E. BBC SO
    BBC SO is the commonly used abbreviation for the BBC Symphony Orchestra, a leading British broadcast and concert orchestra based in London.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9029ef048190bdda5ee41618e720 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc2836c8190a61dfd04127fd255 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.