Triple

T8167358
Position Surface form Disambiguated ID Type / Status
Subject Aeropuerto Internacional Ministro Pistarini E190724 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: [Aeropuerto Internacional Ministro Pistarini, focusCityFor, JetSmart Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JetSmart Argentina
Context triple: [Aeropuerto Internacional Ministro Pistarini, focusCityFor, JetSmart Argentina]
  • A. JetSmart Perú
    JetSmart Perú is a Peruvian low-cost airline operating domestic and regional flights as part of the South American JetSmart network.
  • B. Interjet
    Interjet was a Mexican low-cost airline known for operating domestic and international routes across the Americas before ceasing operations in 2020.
  • C. JetSMART chosen
    JetSMART is a Chilean low-cost airline operating domestic and regional flights across South America.
  • D. La Bella Airosa
    La Bella Airosa is a poetic nickname for the Mexican city of Pachuca, highlighting its famously windy climate and picturesque character.
  • E. Sky Express
    Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb46698fb88190a6d520b05cb9b03e completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf4b68288190be7490119d46b242 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:39 p.m.