Triple

T14285521
Position Surface form Disambiguated ID Type / Status
Subject Transportes Aéreos del Continente Americano E354163 entity
Predicate partOf P40 FINISHED
Object TACA Group E70990 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: TACA Group | Statement: [Transportes Aéreos del Continente Americano, partOf, TACA Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TACA Group
Context triple: [Transportes Aéreos del Continente Americano, partOf, TACA Group]
  • A. TACA Airlines chosen
    TACA Airlines was a major Central American airline based in El Salvador that operated an extensive regional and international route network before merging with Avianca.
  • B. Mesa Air Group
    Mesa Air Group is an American regional airline holding company that operates and manages Mesa Airlines and other aviation-related businesses.
  • C. ATA Airlines
    ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
  • D. Tropic Air
    Tropic Air is a regional airline based in Belize that operates domestic and short-haul international flights across Central America and the Caribbean.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a31ef388190bc3082abc1c25ff4 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:10 a.m.