Triple

T19259441
Position Surface form Disambiguated ID Type / Status
Subject BNC of the IEC E481606 entity
Predicate shortName P43 FINISHED
Object BNC 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: BNC | Statement: [BNC of the IEC, shortName, BNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNC
Context triple: [BNC of the IEC, shortName, BNC]
  • A. BNC
    BNC is the three-letter National Rail station code for Burnley Central railway station in Lancashire, England.
  • B. BNC chosen
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • C. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • D. BN2
    BN2 is a UK postal district covering parts of eastern Brighton and nearby areas within the BN (Brighton) postcode region.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8858588190a04e2a01e43fb7b2 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.