Triple

T15094020
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Metropolitan Area E360491 entity
Predicate includesMunicipality P14658 FINISHED
Object Caldas E676633 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: Caldas | Statement: [Aburrá Metropolitan Area, includesMunicipality, Caldas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caldas
Context triple: [Aburrá Metropolitan Area, includesMunicipality, Caldas]
  • A. Caldas chosen
    Caldas is a municipality in the Antioquia Department of Colombia, located in the southern part of the Aburrá Valley metropolitan area near Medellín.
  • B. Caldas
    Caldas is a department in west-central Colombia known for its coffee-growing region, mountainous landscapes, and part of the Paisa cultural area.
  • C. 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.
  • D. Calarcá
    Calarcá is a Colombian town and municipality in the coffee-growing Quindío Department, known for its cultural heritage and role in the Coffee Cultural Landscape.
  • E. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e47b20819084145008474f47b7 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:04 a.m.