Triple

T21039005
Position Surface form Disambiguated ID Type / Status
Subject Lina De Cesare E518267 entity
Predicate employer P7 FINISHED
Object Air Transat NE NERFINISHED

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 Transat | Statement: [Lina De Cesare, employer, Air Transat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Transat
Context triple: [Lina De Cesare, employer, Air Transat]
  • A. Air Transat chosen
    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.
  • B. Air Canada
    Air Canada is the flag carrier and largest airline of Canada, operating extensive domestic and international passenger and cargo services.
  • 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. Transat A.T.
    Transat A.T. is a Canadian leisure travel company best known for operating the airline Air Transat and offering vacation packages, charter flights, and tourism services primarily between Canada and international destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcee13b08190a8b3372f6759cd1b completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:13 p.m.