Triple

T6097513
Position Surface form Disambiguated ID Type / Status
Subject 7L E135913 entity
Predicate assignedTo P3151 FINISHED
Object AeroCaribbean E25673 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: AeroCaribbean | Statement: [7L, assignedTo, AeroCaribbean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AeroCaribbean
Context triple: [7L, assignedTo, AeroCaribbean]
  • A. AeroCaribbean chosen
    AeroCaribbean was a Cuban regional airline that operated domestic and Caribbean routes, primarily serving as a subsidiary of Cubana de Aviación.
  • B. 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.
  • 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. Cubana de Aviación
    Cubana de Aviación is the national flag carrier airline of Cuba, operating domestic and international flights primarily from its Havana hub.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a987ce081908cbe22940f31ee2f completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254365708190b8feb95dfb2b730d completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.