Triple

T5901474
Position Surface form Disambiguated ID Type / Status
Subject Calgary International Airport E131235 entity
Predicate focusCityFor P164 FINISHED
Object Air Canada E42187 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: Air Canada | Statement: [Calgary International Airport, focusCityFor, Air Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Canada
Context triple: [Calgary International Airport, focusCityFor, 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. 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.
  • E. Air Transat
    Air Transat is a Canadian leisure airline based in Montreal that operates scheduled and charter flights primarily between Canada and vacation destinations in Europe, the Caribbean, and other sun markets.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0373489208190ba51c013e81c9938 completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0076cd88190b10e51c52dcc6a2e completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.