Triple

T723606
Position Surface form Disambiguated ID Type / Status
Subject Jorge Chávez International Airport E14671 entity
Predicate focusCityFor P164 FINISHED
Object Viva Air Perú E53466 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: Viva Air Perú | Statement: [Jorge Chávez International Airport, focusCityFor, Viva Air Perú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva Air Perú
Context triple: [Jorge Chávez International Airport, focusCityFor, Viva Air Perú]
  • A. Sky Airline Perú
    Sky Airline Perú is a Peruvian low-cost carrier operating domestic and regional flights, functioning as the local subsidiary of Chilean airline Sky Airline.
  • B. Viva Air Colombia chosen
    Viva Air Colombia was a Colombian low-cost airline known for operating domestic and regional flights across Latin America.
  • 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. 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.
  • E. Cubana de Aviación
    Cubana de Aviación is the national flag carrier airline of Cuba, operating domestic and international flights primarily from its Havana hub.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d936bbc81908708ee5d0fc82100 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:37 p.m.