Triple

T7380688
Position Surface form Disambiguated ID Type / Status
Subject Runway 15/33 E170238 entity
Predicate hasIATACodeAirport P2569 FINISHED
Object BUR E169015 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: BUR | Statement: [Runway 15/33, hasIATACodeAirport, BUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BUR
Context triple: [Runway 15/33, hasIATACodeAirport, BUR]
  • A. BUR chosen
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • B. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • C. BOR
    BOR is the commonly used abbreviation for the United States Bureau of Reclamation, a federal agency that manages water resources and hydroelectric power projects in the American West.
  • D. BR
    BR is the commonly used abbreviation for Banco de la República, Colombia’s central bank responsible for monetary policy and currency issuance.
  • E. BR
    BR is the abbreviation for the Radiocommunication Bureau, the specialized ITU body responsible for managing global radio-frequency spectrum and satellite orbits.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c7b5bc81908afa2bf39159979b completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c480ef48190b588a2fffb0b1568 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:08 p.m.