Triple

T4418471
Position Surface form Disambiguated ID Type / Status
Subject Yasuní River E95036 entity
Predicate locatedIn P40 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: [Yasuní River, locatedIn, Orellana Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orellana Province
Context triple: [Yasuní River, locatedIn, 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551e7c6c819090fa5dfb5ac58e4c completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdc532cd9c8190bb0763f5b78ed32f completed March 20, 2026, 10:07 p.m.
Created at: March 12, 2026, 11:29 p.m.