Triple

T6484726
Position Surface form Disambiguated ID Type / Status
Subject Cauquenes E146479 entity
Predicate partOf P40 FINISHED
Object Cauquenes Province E148006 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: Cauquenes Province | Statement: [Cauquenes, partOf, Cauquenes Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cauquenes Province
Context triple: [Cauquenes, partOf, Cauquenes Province]
  • A. Cauquenes Province chosen
    Cauquenes Province is an administrative division in central Chile known for its agricultural activities, wine production, and location within the Maule Valley.
  • B. Curicó Province
    Curicó Province is an administrative division in central Chile known for its agricultural production, especially vineyards and fruit cultivation, with Curicó city as its capital.
  • C. Colchagua Province
    Colchagua Province is an administrative division in central Chile renowned for its fertile agricultural lands and prominent wine-producing valleys.
  • D. Talca Province
    Talca Province is an administrative division in central Chile known for its agricultural production and as the location of the regional capital city, Talca.
  • E. Coquimbo Province
    Coquimbo Province is an administrative division in northern Chile, known for its coastal cities, semi-arid climate, and role as a regional economic and cultural center.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6efe1881909a044b1cdaa511af completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa57aa9c819081d4ec62bf18d971 completed March 28, 2026, 3:57 p.m.
Created at: March 22, 2026, 4:52 p.m.