Triple

T10414045
Position Surface form Disambiguated ID Type / Status
Subject TACA LifeMiles Gold E245470 entity
Predicate associatedAirline P9049 FINISHED
Object TACA Airlines 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 Airlines | Statement: [TACA LifeMiles Gold, associatedAirline, TACA Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TACA Airlines
Context triple: [TACA LifeMiles Gold, associatedAirline, TACA Airlines]
  • 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. Calafia Airlines
    Calafia Airlines is a regional Mexican airline based in Baja California Sur that operates domestic routes across the Baja Peninsula and other destinations in Mexico.
  • 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. Cape Air
    Cape Air is a U.S.-based regional airline known for operating short-haul commuter flights, primarily in the Northeast, Midwest, Montana, the Caribbean, and Micronesia.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc043074819083d219ec1c40f931 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.