Triple

T7774597
Position Surface form Disambiguated ID Type / Status
Subject Bello E179159 entity
Predicate hasMetropolitanConnectionWith P78253 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: [Bello, hasMetropolitanConnectionWith, Caldas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caldas
Context triple: [Bello, hasMetropolitanConnectionWith, Caldas]
  • A. Caldas
    Caldas is a department in west-central Colombia known for its coffee-growing region, mountainous landscapes, and part of the Paisa cultural area.
  • B. 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.
  • 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. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • E. 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.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c708b13c688190839c920ec196cada completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9162ec9ec8190bd48b23b2877ff34 completed March 29, 2026, 12:08 p.m.
Created at: March 27, 2026, 4:11 p.m.