Triple

T2437201
Position Surface form Disambiguated ID Type / Status
Subject Avianca E52987 entity
Predicate hasSubsidiary P254 FINISHED
Object Avianca El Salvador E52987 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: Avianca El Salvador | Statement: [Avianca, hasSubsidiary, Avianca El Salvador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avianca El Salvador
Context triple: [Avianca, hasSubsidiary, Avianca El Salvador]
  • A. Avianca chosen
    Avianca is Colombia’s flagship airline and one of Latin America’s largest carriers, operating an extensive domestic and international route network.
  • B. AeroCaribbean
    AeroCaribbean was a Cuban regional airline that operated domestic and Caribbean routes, primarily serving as a subsidiary of Cubana de Aviación.
  • C. 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.
  • D. Cubana de Aviación
    Cubana de Aviación is the national flag carrier airline of Cuba, operating domestic and international flights primarily from its Havana hub.
  • E. 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.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ad31b8819084813b65b46bc9fc completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.