Triple

T17965882
Position Surface form Disambiguated ID Type / Status
Subject Tayacaja Province E449203 entity
Predicate borders P224 FINISHED
Object Angaraes Province 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: Angaraes Province | Statement: [Tayacaja Province, borders, Angaraes Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angaraes Province
Context triple: [Tayacaja Province, borders, Angaraes Province]
  • A. Angaraes Province chosen
    Angaraes Province is an administrative province in the central highlands of Peru, known for its Andean geography and traditional rural communities.
  • B. Sumapaz Province
    Sumapaz Province is an administrative subdivision of the Cundinamarca Department in central Colombia, known for its mountainous landscapes and proximity to the Bogotá metropolitan area.
  • C. Sica Sica Province
    Sica Sica Province is an administrative province in Bolivia’s La Paz Department, known for its high-altitude Andean landscapes and rural communities.
  • D. Julcán Province
    Julcán Province is an administrative province located in the Andean highlands of northern Peru.
  • E. Bongará Province
    Bongará Province is an administrative province in northern Peru known for its mountainous terrain, cloud forests, and archaeological and natural attractions within the Amazonas Region.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1380960819089a3c0dd7cd57e5e completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.