Triple

T13089014
Position Surface form Disambiguated ID Type / Status
Subject Yeadon Aerodrome E310410 entity
Predicate hasIATAcode P2569 FINISHED
Object LBA E281501 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: LBA | Statement: [Yeadon Aerodrome, hasIATAcode, LBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LBA
Context triple: [Yeadon Aerodrome, hasIATAcode, LBA]
  • A. LBA chosen
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • B. LBA
    LBA is the acronym for the Logistics Base of the Armed Forces, the central organization responsible for providing and coordinating logistical support to a nation's military.
  • C. LBA
    LBA is the German Federal Aviation Office responsible for civil aviation oversight, safety regulation, and certification in Germany.
  • D. LAP
    LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
  • E. LBU
    LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27417308190b388be4a31ce4b5d completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.