Triple

T6715835
Position Surface form Disambiguated ID Type / Status
Subject Cochabamba Department E153264 entity
Predicate hasProvince P285 FINISHED
Object Germán Jordán Province E636164 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: Germán Jordán Province | Statement: [Cochabamba Department, hasProvince, Germán Jordán Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germán Jordán Province
Context triple: [Cochabamba Department, hasProvince, Germán Jordán Province]
  • A. Melgar Province
    Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
  • B. Cautín Province
    Cautín Province is an administrative division in southern Chile’s Araucanía Region, known for its capital city Temuco and its significant Mapuche cultural presence.
  • C. Gualberto Villarroel Province
    Gualberto Villarroel Province is an administrative subdivision located within Bolivia’s La Paz Department.
  • D. Tocopilla Province
    Tocopilla Province is an administrative province in northern Chile, located along the Pacific coast within the Antofagasta Region.
  • E. Campero Province chosen
    Campero Province is an administrative province located within Bolivia’s Cochabamba 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 (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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a30754cc8190beeb97b48c167a15 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:07 p.m.