Triple

T16037069
Position Surface form Disambiguated ID Type / Status
Subject Bandurria E388995 entity
Predicate locatedIn P40 FINISHED
Object Huaura 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: Huaura Province | Statement: [Bandurria, locatedIn, Huaura Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huaura Province
Context triple: [Bandurria, locatedIn, Huaura Province]
  • A. Huaura Province chosen
    Huaura Province is an administrative division in the Lima Region of Peru, known for its coastal location and agricultural and fishing activities.
  • B. Punilla Province
    Punilla Province is an administrative division in central Chile’s Ñuble Region, known for its agricultural valleys and rural communities.
  • C. Huaytará Province
    Huaytará Province is an administrative province in the southern highlands of Peru, known for its Andean landscapes, rural communities, and archaeological remains from pre-Hispanic cultures.
  • D. Parinacota Province
    Parinacota Province is a sparsely populated, high-altitude province in far northern Chile, known for its Andean landscapes, volcanoes, and proximity to the borders with Peru and Bolivia.
  • E. Loayza Province
    Loayza Province is an administrative province located within Bolivia’s La Paz Department, known for its rural communities and Andean landscapes.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833da68881908710fb2c28e8c6d0 completed April 17, 2026, 12:47 a.m.
Created at: April 10, 2026, 4:56 a.m.