Triple

T1996136
Position Surface form Disambiguated ID Type / Status
Subject Mexico City International Airport E43362 entity
Predicate servesAsHubFor P423 FINISHED
Object VivaAerobus E48204 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: VivaAerobus | Statement: [Mexico City International Airport, servesAsHubFor, VivaAerobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VivaAerobus
Context triple: [Mexico City International Airport, servesAsHubFor, VivaAerobus]
  • A. Viva Aerobus chosen
    Viva Aerobus is a Mexican low-cost airline known for offering budget-friendly domestic and regional flights across Mexico and select international destinations.
  • B. Volaris
    Volaris is a Mexican low-cost airline that operates domestic and international flights, primarily serving routes across Mexico, the United States, and Central America.
  • C. Vueling
    Vueling is a Spanish low-cost airline that operates extensive domestic and European routes, particularly around major hubs such as Barcelona and other key cities.
  • D. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • E. Viva Air Colombia
    Viva Air Colombia was a Colombian low-cost airline known for operating domestic and regional flights across 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8666b14819084374b84b65c6c74 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58bda3fc81908bfff1707e777dc1 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:37 p.m.