Triple

T1228494
Position Surface form Disambiguated ID Type / Status
Subject TJSJ E26380 entity
Predicate focusCityFor P164 FINISHED
Object Spirit Airlines E22873 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: Spirit Airlines | Statement: [TJSJ, focusCityFor, Spirit Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spirit Airlines
Context triple: [TJSJ, focusCityFor, 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 (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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3c5d4c819087f9e9e37204c3be completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ad879108190a28e2e07a1df35a0 completed March 9, 2026, 6:38 a.m.
Created at: March 1, 2026, 7:47 p.m.