Triple

T20857241
Position Surface form Disambiguated ID Type / Status
Subject Sioux Lookout Airport E513511 entity
Predicate hasAirlineService P12356 FINISHED
Object Bearskin Airlines 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: Bearskin Airlines | Statement: [Sioux Lookout Airport, hasAirlineService, Bearskin Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bearskin Airlines
Context triple: [Sioux Lookout Airport, hasAirlineService, Bearskin Airlines]
  • A. Bearskin Airlines chosen
    Bearskin Airlines is a Canadian regional airline that primarily operates commuter flights connecting smaller communities in Northern Ontario and Manitoba.
  • B. Eagle Airways
    Eagle Airways was a British airline that operated regional and charter passenger services in the mid-20th century.
  • C. Freebird Airlines
    Freebird Airlines is a Turkish charter airline that primarily operates leisure flights between Turkey and various destinations in Europe and the Middle East.
  • D. Hazelton Airlines
    Hazelton Airlines was a regional Australian airline that operated domestic services before eventually becoming part of Rex Airlines through a merger.
  • E. Sunrise Airways
    Sunrise Airways is a Haitian airline that operates regional passenger flights throughout the Caribbean, with its main base in Port-au-Prince.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a93ea881909b9f80a9bd0605b6 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.