Triple

T4074652
Position Surface form Disambiguated ID Type / Status
Subject LIM E86732 entity
Predicate isHubFor P423 FINISHED
Object Sky Airline Perú E88362 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: Sky Airline Perú | Statement: [LIM, isHubFor, Sky Airline Perú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Airline Perú
Context triple: [LIM, isHubFor, Sky Airline Perú]
  • A. Sky Airline Perú chosen
    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. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • C. LATAM Airlines Paraguay
    LATAM Airlines Paraguay is a Paraguayan airline operating domestic and regional flights as part of the larger LATAM Airlines Group network in South America.
  • D. Copa Airlines
    Copa Airlines is the flag carrier of Panama and a major Latin American airline known for its extensive route network centered on its hub in Panama City.
  • E. JetSmart Perú
    JetSmart Perú is a Peruvian low-cost airline operating domestic and regional flights as part of the South American JetSmart network.
  • 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_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_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.