Triple

T13280009
Position Surface form Disambiguated ID Type / Status
Subject KISP E316294 entity
Predicate servesAirlines P12356 FINISHED
Object Frontier Airlines E38568 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: Frontier Airlines | Statement: [KISP, servesAirlines, Frontier Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frontier Airlines
Context triple: [KISP, servesAirlines, Frontier Airlines]
  • A. Frontier Airlines chosen
    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.
  • B. Mesa Airlines
    Mesa Airlines is a U.S.-based regional airline that operates feeder flights for major carriers under their brand names.
  • C. Sun Country Airlines
    Sun Country Airlines is a U.S.-based low-cost carrier known for leisure-focused flights, particularly serving vacation destinations from the Upper Midwest.
  • D. Horizon Air
    Horizon Air is a regional airline in the United States that operates short-haul flights, primarily in the Pacific Northwest, as a subsidiary of Alaska Airlines.
  • E. 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.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75d80a8708190a3a7616dbeb2c0de completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:27 p.m.