Triple

T14285528
Position Surface form Disambiguated ID Type / Status
Subject Transportes Aéreos del Continente Americano E354163 entity
Predicate callsign P1565 FINISHED
Object TACA 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 | Statement: [Transportes Aéreos del Continente Americano, callsign, TACA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TACA
Context triple: [Transportes Aéreos del Continente Americano, callsign, TACA]
  • 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. SCAT Airlines
    SCAT Airlines is a Kazakhstani regional and charter airline based in Shymkent that operates domestic and international flights across Central Asia and beyond.
  • C. Tʼway Air
    Tʼway Air is a South Korean low-cost airline operating domestic and international routes across Asia and the Pacific.
  • 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. 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.
  • 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_69fd8aa2b7908190831e6c07abcc091d completed May 8, 2026, 7:02 a.m.
Created at: April 10, 2026, 1:10 a.m.