Triple

T2411483
Position Surface form Disambiguated ID Type / Status
Subject Wingo E52199 entity
Predicate parentOrganization P254 FINISHED
Object Copa Airlines Colombia E45992 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: Copa Airlines Colombia | Statement: [Wingo, parentOrganization, Copa Airlines Colombia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copa Airlines Colombia
Context triple: [Wingo, parentOrganization, Copa Airlines Colombia]
  • A. Copa Airlines chosen
    Copa Airlines is the flag carrier of Panama and a major Latin American airline known for its extensive route network centered on its hub in Panama City.
  • B. Viva Air Colombia
    Viva Air Colombia was a Colombian low-cost airline known for operating domestic and regional flights across Latin America.
  • C. Avianca
    Avianca is Colombia’s flagship airline and one of Latin America’s largest carriers, operating an extensive domestic and international route network.
  • D. Copa Holdings S.A.
    Copa Holdings S.A. is a Panamanian airline holding company best known as the owner and operator of Copa Airlines and related aviation businesses in Latin America.
  • E. LATAM Airlines Group
    LATAM Airlines Group is a major Latin American airline holding company formed by the merger of LAN Airlines and TAM Airlines, operating an extensive network of domestic and international routes across the Americas and beyond.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc928fd608190885fcde6746a06bc completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf43c1fc8190ae66bd88ad4c7a6b completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:41 p.m.