Triple

T17777140
Position Surface form Disambiguated ID Type / Status
Subject Diguillín Province E443800 entity
Predicate seat P75 FINISHED
Object Bulnes NE NERFINISHED

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: Bulnes | Statement: [Diguillín Province, seat, Bulnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulnes
Context triple: [Diguillín Province, seat, Bulnes]
  • A. Bulnes chosen
    Bulnes is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and rural character.
  • B. Grajales
    Grajales is a Spanish-language surname most notably associated with Mariana Grajales, a revered figure in Cuban history and the independence movement.
  • C. Sarralbe
    Sarralbe is a small commune in northeastern France known for its location in the Moselle department near the German border.
  • D. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • E. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.