Triple

T23135101
Position Surface form Disambiguated ID Type / Status
Subject Ñancahuazú region E577291 entity
Predicate locatedInAdministrativeDivision P40 FINISHED
Object Santa Cruz Department (Bolivia) NE NERFINISHED

How this triple was built (3 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: Santa Cruz Department (Bolivia) | Statement: [Ñancahuazú region, locatedInAdministrativeDivision, Santa Cruz Department (Bolivia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Cruz Department (Bolivia)
Context triple: [Ñancahuazú region, locatedInAdministrativeDivision, Santa Cruz Department (Bolivia)]
  • A. Caazapá Department
    Caazapá Department is an administrative region in southern Paraguay known for its rural landscapes, agricultural economy, and location along important rivers such as the Tebicuary.
  • B. Cochabamba Department
    Cochabamba Department is a central Bolivian administrative region known for its fertile valleys, temperate climate, and the city of Cochabamba as its capital.
  • C. 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.
  • D. Pando Department
    Pando Department is a sparsely populated, rainforest-covered region in northern Bolivia known for its Amazonian biodiversity and remote location.
  • E. San Rafael Department
    San Rafael Department is an administrative subdivision in Mendoza Province, Argentina, centered on the city of San Rafael and known for its wine production and tourism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santa Cruz Department (Bolivia)
Target entity description: Santa Cruz Department is Bolivia’s largest and most economically dynamic region, known for its lowland geography, agricultural and hydrocarbon production, and the major city of Santa Cruz de la Sierra.
  • A. Caazapá Department
    Caazapá Department is an administrative region in southern Paraguay known for its rural landscapes, agricultural economy, and location along important rivers such as the Tebicuary.
  • B. Cochabamba Department
    Cochabamba Department is a central Bolivian administrative region known for its fertile valleys, temperate climate, and the city of Cochabamba as its capital.
  • C. 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.
  • D. Pando Department
    Pando Department is a sparsely populated, rainforest-covered region in northern Bolivia known for its Amazonian biodiversity and remote location.
  • E. San Rafael Department
    San Rafael Department is an administrative subdivision in Mendoza Province, Argentina, centered on the city of San Rafael and known for its wine production and tourism.
  • F. None of above. chosen

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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8ab9b08190969984f8c4494b0f completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.