Triple

T7301498
Position Surface form Disambiguated ID Type / Status
Subject Bueno River E167865 entity
Predicate flowsThrough P225 FINISHED
Object Ranco Province E118979 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: Ranco Province | Statement: [Bueno River, flowsThrough, Ranco Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranco Province
Context triple: [Bueno River, flowsThrough, Ranco Province]
  • A. Ranco Province chosen
    Ranco Province is an administrative division in southern Chile known for its lakes, rivers, and rural landscapes within the Los Ríos Region.
  • B. Gualivá Province
    Gualivá Province is an administrative subdivision of the Cundinamarca Department in central Colombia, known for its mountainous terrain and agricultural towns.
  • C. Itata Province
    Itata Province is an administrative division in Chile's Ñuble Region, known for its rural landscapes, wine production, and small provincial capital of Quirihue.
  • D. 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.
  • E. Esteban Arce Province
    Esteban Arce Province is an administrative province in central Bolivia known for its rural communities and agricultural activities within the Cochabamba 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ede6c4c8190ad7ade8ce3bbc35e completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 3:01 p.m.