Triple

T239329
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca Department E4892 entity
Predicate contains P35 FINISHED
Object Ubaté E33390 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: Ubaté | Statement: [Cundinamarca Department, contains, Ubaté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubaté
Context triple: [Cundinamarca Department, contains, Ubaté]
  • A. Ubaté chosen
    Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
  • B. Girardot
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
  • C. 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.
  • D. Colonia del Valle
    Colonia del Valle is an affluent, centrally located neighborhood in Mexico City known for its residential character, commercial avenues, and urban amenities.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3e56fd6b88190b18e081386436ea9 completed March 1, 2026, 7:06 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.