Triple

T18582595
Position Surface form Disambiguated ID Type / Status
Subject A Fala de Xálima E454152 entity
Predicate hasDialect P4251 FINISHED
Object Valverdeiru 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: Valverdeiru | Statement: [A Fala de Xálima, hasDialect, Valverdeiru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valverdeiru
Context triple: [A Fala de Xálima, hasDialect, Valverdeiru]
  • A. Valverdeiru chosen
    Valverdeiru is a regional dialect of the Fala language spoken in the Valverde del Fresno area of Extremadura, Spain.
  • B. Veiros
    Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
  • C. Valdemaqueda
    Valdemaqueda is a small municipality in the Community of Madrid, Spain, known for its rural landscape and proximity to the Sierra de Guadarrama.
  • D. Buarcos
    Buarcos is a coastal civil parish and former fishing village in central Portugal, known for its long sandy beaches and historic fortifications, that forms part of the municipality of Figueira da Foz.
  • E. Pinoso
    Pinoso is a municipality in the province of Alicante, Spain, known for its wine production, marble quarries, and traditional rural character.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d10b1c8190a401df810b7290c9 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.