Triple

T22386607
Position Surface form Disambiguated ID Type / Status
Subject Maya Island Air E553410 entity
Predicate servesDestination P2066 FINISHED
Object Corozal NE NERFINISHED

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: Corozal | Statement: [Maya Island Air, servesDestination, Corozal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corozal
Context triple: [Maya Island Air, servesDestination, Corozal]
  • A. Corozal
    Corozal is a municipality in northern Colombia known for its agricultural economy and location within the Caribbean region.
  • B. Corozal chosen
    Corozal is a coastal town in northern Belize known for its relaxed atmosphere, proximity to the Mexican border, and access to the Caribbean Sea.
  • C. Colonia del Carmen
    Colonia del Carmen is a neighborhood in Mexico City’s Coyoacán area, known for its historic character and cultural landmarks such as the Casa Azul (Frida Kahlo Museum).
  • D. Tuxtla
    Tuxtla is a region in southern Mexico whose name, derived from the Nahuatl language, is associated with the area that later gave its name to the city of Tuxtla Gutiérrez.
  • E. Barranquitas
    Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158304bcc81908c4c5db09a246bcc completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.