Triple

T16118788
Position Surface form Disambiguated ID Type / Status
Subject CYUL E391077 entity
Predicate focusCityFor P164 FINISHED
Object Porter Airlines E49087 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: Porter Airlines | Statement: [CYUL, focusCityFor, Porter Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porter Airlines
Context triple: [CYUL, focusCityFor, Porter Airlines]
  • A. Porter Airlines chosen
    Porter Airlines is a Canadian regional airline known for its short-haul flights, premium-feel service, and primary operations from downtown Toronto.
  • B. Piedmont Airlines
    Piedmont Airlines is a regional American airline that operates feeder flights for major carriers, primarily under the US Airways Express and later American Eagle brands.
  • C. Bluestar Airlines
    Bluestar Airlines is the fictional regional airline featured in the film "Wall Street," central to the storyline involving Carl Fox and corporate takeover schemes.
  • D. SouthJet Airlines
    SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
  • E. Spirit Airlines
    Spirit Airlines is an American ultra-low-cost carrier known for its no-frills service model and extensive network of domestic and Latin American routes.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016d527c8190928e73661b18a914 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a44cb48190abe3b1ea27349734 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.