Triple

T2413725
Position Surface form Disambiguated ID Type / Status
Subject Vancouver International Airport E52253 entity
Predicate focusCityFor P164 FINISHED
Object WestJet E63601 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: WestJet | Statement: [Vancouver International Airport, focusCityFor, WestJet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WestJet
Context triple: [Vancouver International Airport, focusCityFor, WestJet]
  • A. WestJet chosen
    WestJet is a major Canadian low-cost airline known for its extensive domestic and international route network and customer-friendly service.
  • B. Air Canada
    Air Canada is the flag carrier and largest airline of Canada, operating extensive domestic and international passenger and cargo services.
  • C. 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.
  • D. 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.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94a6458819087b8c4fe81a2d031 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09efc108190b309dfe993526a26 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:41 p.m.