Triple

T2484875
Position Surface form Disambiguated ID Type / Status
Subject Carnaval de Negros y Blancos E55901 entity
Predicate heldIn P2777 FINISHED
Object Pasto E180915 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: Pasto | Statement: [Carnaval de Negros y Blancos, heldIn, Pasto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasto
Context triple: [Carnaval de Negros y Blancos, heldIn, Pasto]
  • A. Pasto chosen
    Pasto is a city in southwestern Colombia known as the capital of the Nariño Department and for its rich Andean culture and traditional Black and White Carnival.
  • B. Betancuria
    Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
  • C. Cuenca
    Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
  • D. Suesca
    Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
  • E. Sogamoso
    Sogamoso is a Colombian city in the Andean region known historically as a major religious and cultural center of the Muisca civilization and today for its industry and mining.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd175f5ac8190870db9c6cb8e45bd completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8021e08190a9197659387ec4f8 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.