Triple

T4074656
Position Surface form Disambiguated ID Type / Status
Subject LIM E86732 entity
Predicate isFocusCityFor P1295 FINISHED
Object Viva Air Perú
Viva Air Perú was a low-cost airline based in Peru that operated domestic and regional flights before ceasing operations.
 E53466 NE FINISHED

How this triple was built (4 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: [LIM, isFocusCityFor, Viva Air Perú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viva Air Perú
Context triple: [LIM, isFocusCityFor, 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
    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. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Viva Air Perú
Triple: [LIM, isFocusCityFor, Viva Air Perú]
Generated description
Viva Air Perú was a low-cost airline based in Peru that operated domestic and regional flights before ceasing operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viva Air Perú
Target entity description: Viva Air Perú was a low-cost airline based in Peru that operated domestic and regional flights before ceasing operations.
  • 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. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • 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.

Provenance (5 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc245d888190ae773f9c3077953b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b5c2c948190a2548e26be3eedfd completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56cbf12348190836f79e509468a3d completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b570aef9008190bf8ef2deb00178ae completed March 14, 2026, 2:29 p.m.
Created at: March 9, 2026, 3:39 p.m.