Triple

T18582475
Position Surface form Disambiguated ID Type / Status
Subject Valverdeiru E454148 entity
Predicate hasAlternativeName P39 FINISHED
Object Valverdeño
Valverdeño is a Romance dialect of the Astur-Leonese language traditionally spoken in the village of Valverde in the province of León, Spain.
 E1331866 NE FINISHED

How this triple was built (4 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: Valverdeño | Statement: [Valverdeiru, hasAlternativeName, Valverdeño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valverdeño
Context triple: [Valverdeiru, hasAlternativeName, Valverdeño]
  • A. Migueleño
    Migueleño is an extinct Chumashan language once spoken by the Indigenous Chumash people in what is now Southern California.
  • B. Balangeño
    A Balangeño is a resident or native of Balanga City in the province of Bataan, Philippines.
  • C. Purismeño
    Purismeño is an extinct Chumashan language once spoken by the Chumash people in the region around present-day Lompoc and Purisima in coastal California.
  • D. Manizaleña
    Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
  • E. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valverdeño
Triple: [Valverdeiru, hasAlternativeName, Valverdeño]
Generated description
Valverdeño is a Romance dialect of the Astur-Leonese language traditionally spoken in the village of Valverde in the province of León, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valverdeño
Target entity description: Valverdeño is a Romance dialect of the Astur-Leonese language traditionally spoken in the village of Valverde in the province of León, Spain.
  • A. Migueleño
    Migueleño is an extinct Chumashan language once spoken by the Indigenous Chumash people in what is now Southern California.
  • B. Balangeño
    A Balangeño is a resident or native of Balanga City in the province of Bataan, Philippines.
  • C. Purismeño
    Purismeño is an extinct Chumashan language once spoken by the Chumash people in the region around present-day Lompoc and Purisima in coastal California.
  • D. Manizaleña
    Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
  • E. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a04f88f6870819085ebffc7c77e483f completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9fc493881909ba9159748d4f3fb completed May 13, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_6a04fad8daa88190961d643d30a52aa7 completed May 13, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:44 a.m.