Triple

T2156025
Position Surface form Disambiguated ID Type / Status
Subject UAL E47888 entity
Predicate hasIATAEquivalent P12360 FINISHED
Object UA E47401 NE FINISHED

How this triple was built (3 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: UA | Statement: [UAL, hasIATAEquivalent, UA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UA
Context triple: [UAL, hasIATAEquivalent, UA]
  • A. UA
    UA is the two-letter ISO 3166-1 alpha-2 country code assigned to Ukraine for international standardization and identification purposes.
  • B. UA chosen
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • C. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • D. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • E. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIATAEquivalent
Context triple: [UAL, hasIATAEquivalent, UA]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • D. associatedWithIATAAirlineCode chosen
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • E. hasAirportCodeType
    Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
  • F. None of above.

Provenance (4 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe669c188190bb4c1c391ca848b0 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e53fe481908fa4035ee98bd6ca completed March 9, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69abbd9a60648190b20b116be5c7ad98 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.