Triple

T13391772
Position Surface form Disambiguated ID Type / Status
Subject Morona River E319589 entity
Predicate region P40 FINISHED
Object Pastaza Province E49577 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: Pastaza Province | Statement: [Morona River, region, Pastaza Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pastaza Province
Context triple: [Morona River, region, Pastaza Province]
  • A. Pastaza Province chosen
    Pastaza Province is a large, sparsely populated region in eastern Ecuador within the Amazon rainforest, known for its rich biodiversity and significant Indigenous communities, including the Shuar.
  • B. Contumazá Province
    Contumazá Province is an administrative province in northern Peru known for its rural Andean landscapes and agricultural communities within the Cajamarca Region.
  • C. Loayza Province
    Loayza Province is an administrative province located within Bolivia’s La Paz Department, known for its rural communities and Andean landscapes.
  • D. Huancané Province
    Huancané Province is an administrative division in southern Peru known for its high Andean geography and predominantly Aymara-speaking population.
  • E. 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.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
Created at: April 9, 2026, 9:34 p.m.