Triple

T5765351
Position Surface form Disambiguated ID Type / Status
Subject Ilyushin Il-96 E127199 entity
Predicate usedBy P260 FINISHED
Object Cubana de Aviación E25422 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: Cubana de Aviación | Statement: [Ilyushin Il-96, usedBy, Cubana de Aviación]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cubana de Aviación
Context triple: [Ilyushin Il-96, usedBy, Cubana de Aviación]
  • A. Cubana de Aviación chosen
    Cubana de Aviación is the national flag carrier airline of Cuba, operating domestic and international flights primarily from its Havana hub.
  • B. Condor Airlines
    Condor Airlines is a German leisure airline that primarily operates holiday flights from Germany to vacation destinations worldwide.
  • C. Caribbean Airlines
    Caribbean Airlines is the state-owned flag carrier of Trinidad and Tobago, operating regional and international flights throughout the Caribbean and to North and South America.
  • D. 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.
  • E. Copa Airlines
    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.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0296fa3e881909359bc39892ccc18 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e349d0088190be108aa266d3af82 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:49 p.m.