Triple

T17551729
Position Surface form Disambiguated ID Type / Status
Subject KMKE E427479 entity
Predicate servesAirlines P12356 FINISHED
Object Sun Country 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: Sun Country Airlines | Statement: [KMKE, servesAirlines, Sun Country Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Country Airlines
Context triple: [KMKE, servesAirlines, Sun Country Airlines]
  • A. Sun Country Airlines chosen
    Sun Country Airlines is a U.S.-based low-cost carrier known for leisure-focused flights, particularly serving vacation destinations from the Upper Midwest.
  • B. Frontier Airlines
    Frontier Airlines is a U.S. ultra-low-cost carrier known for its point-to-point route network, animal-themed aircraft tails, and extensive domestic service.
  • C. Mesa Airlines
    Mesa Airlines is a U.S.-based regional airline that operates feeder flights for major carriers under their brand names.
  • D. Allegiant Air
    Allegiant Air is a U.S.-based ultra-low-cost airline known for operating scheduled and charter flights primarily between smaller cities and popular leisure destinations.
  • E. SouthJet Airlines
    SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454664b348190aea3ad59954b2c91 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.