Triple

T22483464
Position Surface form Disambiguated ID Type / Status
Subject GSO E555823 entity
Predicate servesAirlines P12356 FINISHED
Object Spirit 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: Spirit Airlines | Statement: [GSO, servesAirlines, Spirit Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spirit Airlines
Context triple: [GSO, servesAirlines, Spirit Airlines]
  • A. Spirit Airlines chosen
    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.
  • B. Ryan Airlines
    Ryan Airlines was an American aircraft manufacturer and airline best known for building Charles Lindbergh’s Spirit of St. Louis monoplane.
  • C. 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.
  • D. Endeavor Air
    Endeavor Air is a U.S.-based regional airline that operates Delta Connection flights, providing feeder services to Delta Air Lines’ domestic and short-haul international network.
  • E. JetBlue Airways
    JetBlue Airways is a major American low-cost airline known for its customer-friendly service, free in-flight entertainment, and extensive route network across the United States, Caribbean, and Latin America.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3b03d881909e286a124c1a2b1c completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.