Triple

T4909282
Position Surface form Disambiguated ID Type / Status
Subject San Carlos E110192 entity
Predicate region P40 FINISHED
Object Ñuble Region E18267 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: Ñuble Region | Statement: [San Carlos, region, Ñuble Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ñuble Region
Context triple: [San Carlos, region, Ñuble Region]
  • A. Ñuble Region chosen
    Ñuble Region is an administrative region in south-central Chile known for its agricultural production, wine valleys, and the city of Chillán as its capital.
  • B. Los Lagos Region
    Los Lagos Region is a southern administrative region of Chile known for its lakes, volcanoes, and coastal landscapes, including the island of Chiloé.
  • C. O’Higgins Region
    The O’Higgins Region is an administrative region in central Chile known for its agricultural production, particularly vineyards and fruit growing, and its capital city, Rancagua.
  • D. Región de Ñuble
    Región de Ñuble is an administrative region in central Chile known for its agricultural production, wine valleys, and the city of Chillán as its capital.
  • E. Maule Region
    The Maule Region is an administrative region in central Chile known for its agricultural production, wine industry, and coastal and Andean landscapes.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64b8e4dd88190be82d6e5ad9f2e7a completed March 27, 2026, 9:19 a.m.
Created at: March 20, 2026, 1:29 p.m.