Triple

T22714260
Position Surface form Disambiguated ID Type / Status
Subject LAP E561685 entity
Predicate identifies P310 FINISHED
Object LATAM Airlines Paraguay NE NERFINISHED

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: LATAM Airlines Paraguay | Statement: [LAP, identifies, LATAM Airlines Paraguay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LATAM Airlines Paraguay
Context triple: [LAP, identifies, LATAM Airlines Paraguay]
  • A. LATAM Airlines Paraguay chosen
    LATAM Airlines Paraguay is a Paraguayan airline operating domestic and regional flights as part of the larger LATAM Airlines Group network in South America.
  • B. LATAM Airlines Argentina
    LATAM Airlines Argentina was an Argentine subsidiary of LATAM Airlines Group that operated domestic and regional flights until ceasing operations in 2020.
  • C. Boliviana de Aviación
    Boliviana de Aviación is Bolivia’s state-owned flag carrier airline, operating domestic and international passenger and cargo services.
  • D. Azur Air Uruguay
    Azur Air Uruguay is a Uruguayan charter airline that operates leisure-focused flights, primarily connecting Uruguay with popular tourist destinations.
  • E. Aerolineas Argentinas
    Aerolíneas Argentinas is the flag carrier airline of Argentina, operating domestic and international flights primarily from its hub in Buenos Aires.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790bdac88190976c83c9039c9d16 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.