Triple

T15804746
Position Surface form Disambiguated ID Type / Status
Subject Del Bajío International Airport E383181 entity
Predicate hasAirline P35742 FINISHED
Object Volaris E45592 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: Volaris | Statement: [Del Bajío International Airport, hasAirline, Volaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volaris
Context triple: [Del Bajío International Airport, hasAirline, Volaris]
  • A. Volaris chosen
    Volaris is a Mexican low-cost airline that operates domestic and international flights, primarily serving routes across Mexico, the United States, and Central America.
  • B. Viva Aerobus
    Viva Aerobus is a Mexican low-cost airline known for offering budget-friendly domestic and regional flights across Mexico and select international destinations.
  • C. Cronos Airlines
    Cronos Airlines is an Equatorial Guinea-based carrier that uses Malabo International Airport as its primary hub for regional and possibly limited international flights.
  • D. Interjet
    Interjet was a Mexican low-cost airline known for operating domestic and international routes across the Americas before ceasing operations in 2020.
  • E. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b525b1c08190acffab06d89dbdbe completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12f92e48190bc2886f4070cfc70 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.