Triple

T21974895
Position Surface form Disambiguated ID Type / Status
Subject Otuyo E542678 entity
Predicate locatedIn P40 FINISHED
Object Potosí Department 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: Potosí Department | Statement: [Otuyo, locatedIn, Potosí Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potosí Department
Context triple: [Otuyo, locatedIn, Potosí Department]
  • A. Potosí Department chosen
    Potosí Department is a high-altitude region in southwestern Bolivia known for its historic silver mining city of Potosí and vast Andean landscapes.
  • B. Cordillera Department
    Cordillera Department is an inland administrative region of Paraguay known for its hilly terrain, colonial towns, and proximity to the capital, Asunción.
  • C. Sucre Department
    Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
  • D. Oruro Department
    Oruro Department is a high-altitude administrative region in western Bolivia known for its Andean landscapes, mining heritage, and vibrant Carnival of Oruro.
  • E. La Paz Department
    La Paz Department is a highland administrative region in western Bolivia that includes the city of La Paz and encompasses part of the Lake Titicaca basin in the Andes.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12487a1a88190abb8a51fcd533b6a completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.