Triple

T4577733
Position Surface form Disambiguated ID Type / Status
Subject BNA E101779 entity
Predicate hasFAAIdentifier P420 FINISHED
Object BNA E101779 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: BNA | Statement: [BNA, hasFAAIdentifier, BNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNA
Context triple: [BNA, hasFAAIdentifier, BNA]
  • A. BNA
    BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
  • B. BNA chosen
    BNA is the three-letter IATA airport code for Nashville International Airport, the primary commercial airport serving Nashville, Tennessee.
  • C. BNA
    BNA is the abbreviation commonly used for the Bulgarian People's Army, the former armed forces of the People's Republic of Bulgaria during the socialist era.
  • D. BNA Kubus
    BNA Kubus is a prestigious Dutch architecture award presented by the Royal Institute of Dutch Architects (BNA) to recognize outstanding contributions to the field of architecture.
  • E. 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.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3ee510481909d481b157bd0b2bd completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.