Triple

T4481559
Position Surface form Disambiguated ID Type / Status
Subject Ñuble E100145 entity
Predicate hasProvince P285 FINISHED
Object Itata E117815 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: Itata | Statement: [Ñuble, hasProvince, Itata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itata
Context triple: [Ñuble, hasProvince, Itata]
  • A. Itata Valley chosen
    Itata Valley is a historic wine-producing region in south-central Chile known for its old-vine País and Muscatel grapes and a growing reputation for quality cool-climate wines.
  • B. Montt
    Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
  • C. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • D. Valdivia
    Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • E. Yaguachi
    Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6377c694881909428b5cffb405c8d completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:36 p.m.