Triple

T18363301
Position Surface form Disambiguated ID Type / Status
Subject MGGT E439973 entity
Predicate isHubFor P423 FINISHED
Object Avianca Guatemala 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: Avianca Guatemala | Statement: [MGGT, isHubFor, Avianca Guatemala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avianca Guatemala
Context triple: [MGGT, isHubFor, Avianca Guatemala]
  • A. Costa Rica Green Airways
    Costa Rica Green Airways is a Costa Rican regional airline focused on domestic and short-haul flights, emphasizing eco-friendly operations and service from its base at Juan Santamaría International Airport.
  • B. AeroCaribbean
    AeroCaribbean was a Cuban regional airline that operated domestic and Caribbean routes, primarily serving as a subsidiary of Cubana de Aviación.
  • C. Avianca chosen
    Avianca is Colombia’s flagship airline and one of Latin America’s largest carriers, operating an extensive domestic and international route network.
  • D. 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.
  • E. Caribbean Airlines
    Caribbean Airlines is the state-owned flag carrier of Trinidad and Tobago, operating regional and international flights throughout the Caribbean and to North and South America.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516dd973c8190857c588ab9ad9daf completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.