Triple

T15879930
Position Surface form Disambiguated ID Type / Status
Subject Muñecas Province E385048 entity
Predicate borderingUnit P32798 FINISHED
Object Camacho 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: Camacho Province | Statement: [Muñecas Province, borderingUnit, Camacho Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camacho Province
Context triple: [Muñecas Province, borderingUnit, Camacho Province]
  • A. Camacho Province chosen
    Camacho Province is an administrative subdivision in western Bolivia known for its location within the high Andean region of the La Paz Department.
  • B. Chiquitos Province
    Chiquitos Province is an administrative region in eastern Bolivia known for its historic Jesuit mission towns and location within the Santa Cruz Department.
  • C. Murillo Province
    Murillo Province is an administrative province in western Bolivia that includes the national capital city of La Paz and its surrounding areas.
  • D. Tayacaja Province
    Tayacaja Province is an administrative province in central Peru known for its Andean highland landscapes and rural communities within the Huancavelica Region.
  • E. Cajatambo Province
    Cajatambo Province is an administrative subdivision in the highland area of Peru’s Lima Region, known for its Andean landscapes and rural communities.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828cd83c8190a3e15cccc8342c1f completed April 17, 2026, 12:45 a.m.
Created at: April 10, 2026, 4:51 a.m.