Triple

T3804635
Position Surface form Disambiguated ID Type / Status
Subject Coca River E91774 entity
Predicate flowsThrough P225 FINISHED
Object Orellana Province E81999 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: Orellana Province | Statement: [Coca River, flowsThrough, Orellana Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orellana Province
Context triple: [Coca River, flowsThrough, Orellana Province]
  • A. Orellana Province chosen
    Orellana Province is an Amazonian region in northeastern Ecuador known for its vast tropical rainforests, rich biodiversity, and significant oil reserves.
  • B. Caranavi Province
    Caranavi Province is an administrative province in Bolivia known for its coffee production and location within the Yungas region of the La Paz Department.
  • C. Gualivá Province
    Gualivá Province is an administrative subdivision of the Cundinamarca Department in central Colombia, known for its mountainous terrain and agricultural towns.
  • D. Sud Yungas Province
    Sud Yungas Province is an administrative province in western Bolivia known for its mountainous terrain, cloud forests, and traditional coca-growing regions.
  • E. Ranco Province
    Ranco Province is an administrative division in southern Chile known for its lakes, rivers, and rural landscapes within the Los Ríos Region.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b63702874881909610763d5a48b09d completed March 15, 2026, 4:35 a.m.
Created at: March 9, 2026, 3:15 p.m.