Triple

T9135085
Position Surface form Disambiguated ID Type / Status
Subject ACA E219179 entity
Predicate ACIsIataCodeFor P2569 FINISHED
Object Air Canada E42187 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: Air Canada | Statement: [ACA, ACIsIataCodeFor, Air Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Canada
Context triple: [ACA, ACIsIataCodeFor, Air Canada]
  • A. Air Canada chosen
    Air Canada is the flag carrier and largest airline of Canada, operating extensive domestic and international passenger and cargo services.
  • B. Canadian Airlines
    Canadian Airlines was a former major Canadian carrier that operated extensive domestic and international routes before being acquired by Air Canada in 2000.
  • C. WestJet
    WestJet is a major Canadian low-cost airline known for its extensive domestic and international route network and customer-friendly service.
  • D. Canadian Airways Limited
    Canadian Airways Limited was an early 20th-century Canadian airline that played a key role in pioneering commercial aviation and regional air services across Canada.
  • E. Air Canada Express
    Air Canada Express is a regional airline brand that operates short-haul feeder flights on behalf of Air Canada, connecting smaller communities to the mainline carrier’s network.
  • 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: ACIsIataCodeFor
Context triple: [ACA, ACIsIataCodeFor, Air Canada]
  • A. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • B. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • C. hasIATAcode chosen
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • D. icaoCodeType
    Indicates that the relationship specifies or classifies the ICAO (International Civil Aviation Organization) code associated with an entity.
  • E. airportCodeContext
    Indicates that an airport code is being used or interpreted within a specific contextual framework (such as a region, system, or standard) that defines its meaning.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8de0dec8190978c80b9ec8bf25c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf5534c8190894c2d8376764876 completed April 4, 2026, 12:31 a.m.
PD Predicate disambiguation batch_69cc6601d77881908299d58db6e64937 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:18 p.m.