Triple

T11055326
Position Surface form Disambiguated ID Type / Status
Subject General Mariano Escobedo International Airport E261358 entity
Predicate focusCityFor P164 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: [General Mariano Escobedo International Airport, focusCityFor, Volaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volaris
Context triple: [General Mariano Escobedo International Airport, focusCityFor, 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. Interjet
    Interjet was a Mexican low-cost airline known for operating domestic and international routes across the Americas before ceasing operations in 2020.
  • D. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • E. Aeroméxico
    Aeroméxico is Mexico’s flagship airline, operating domestic and international flights across the Americas, Europe, and Asia from its main hub in Mexico City.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a152b4819095b74a8996346077 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d5ca2ec819088036a09861cc116 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:26 p.m.