Triple

T12736856
Position Surface form Disambiguated ID Type / Status
Subject YBBN E304384 entity
Predicate IATACode P418 FINISHED
Object BNE E304383 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: BNE | Statement: [YBBN, IATACode, BNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNE
Context triple: [YBBN, IATACode, BNE]
  • A. BNE
    BNE is the acronym for Spain's National Library, the principal institution responsible for preserving and providing access to the country’s bibliographic heritage.
  • B. BNE chosen
    BNE is the three-letter IATA airport code for Brisbane Airport, the primary international and domestic airport serving Brisbane, Australia.
  • C. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • D. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • E. BN
    BN is the UK postcode area covering Brighton, Hove, and surrounding parts of East and West Sussex.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646b3ca08190b239f0736a01169d completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8e2dbc81909c1c85ca699a2679 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.