Triple

T1885572
Position Surface form Disambiguated ID Type / Status
Subject Aeroparque Jorge Newbery E39955 entity
Predicate focusCityFor P164 FINISHED
Object JetSMART Argentina E100695 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: JetSMART Argentina | Statement: [Aeroparque Jorge Newbery, focusCityFor, JetSMART Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JetSMART Argentina
Context triple: [Aeroparque Jorge Newbery, focusCityFor, JetSMART Argentina]
  • A. JetSMART chosen
    JetSMART is a Chilean low-cost airline operating domestic and regional flights across South America.
  • B. JetSmart Perú
    JetSmart Perú is a Peruvian low-cost airline operating domestic and regional flights as part of the South American JetSmart network.
  • C. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • D. Aerolineas Argentinas
    Aerolíneas Argentinas is the flag carrier airline of Argentina, operating domestic and international flights primarily from its hub in Buenos Aires.
  • E. 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.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb11eb2d0819088d67b1cfc772049 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf61413081909c0e840590aaf631 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.