Triple

T2411454
Position Surface form Disambiguated ID Type / Status
Subject LATAM Colombia E52198 entity
Predicate callsign P1565 FINISHED
Object LAN COLOMBIA E52198 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: LAN COLOMBIA | Statement: [LATAM Colombia, callsign, LAN COLOMBIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAN COLOMBIA
Context triple: [LATAM Colombia, callsign, LAN COLOMBIA]
  • A. LATAM Colombia chosen
    LATAM Colombia is a Colombian airline that operates domestic and international flights as part of the LATAM Airlines Group.
  • B. southern Colombia
    Southern Colombia is a region of Colombia characterized by its Andean and Amazonian landscapes, rich Indigenous cultures, and significant linguistic diversity.
  • C. Turbo, Colombia
    Turbo is a port town in Colombia’s Antioquia Department on the Caribbean coast, known as a key transit point near the Darién Gap where the Pan-American Highway remains discontinuous.
  • D. Bogotá–Tenjo corridor
    The Bogotá–Tenjo corridor is a rapidly urbanizing and industrializing stretch of land in the Bogotá savanna that connects the Colombian capital with the nearby municipality of Tenjo.
  • E. Colombia
    Colombia is a transcontinental country in northern South America, known for its diverse landscapes from Andes mountains to Amazon rainforest, rich cultural heritage, and major cities like Bogotá and Medellín.
  • 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_69aeb3f00cc481909c2841a6f2ebadad completed March 9, 2026, 11:50 a.m.
Created at: March 6, 2026, 9:41 p.m.