Triple

T22144505
Position Surface form Disambiguated ID Type / Status
Subject Maverick Viñales E547250 entity
Predicate familyName P18 FINISHED
Object Viñales
Viñales is a Spanish surname most prominently associated with MotoGP rider Maverick Viñales.
 E1522059 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: Viñales | Statement: [Maverick Viñales, familyName, Viñales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viñales
Context triple: [Maverick Viñales, familyName, Viñales]
  • A. Viñales Valley
    Viñales Valley is a renowned karst landscape in western Cuba, famous for its dramatic limestone mogotes, traditional tobacco farms, and UNESCO World Heritage status.
  • B. Pinar del Río
    Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
  • C. Ciego de Ávila
    Ciego de Ávila is a central Cuban city and provincial capital known for its agricultural production and proximity to popular beach resorts like Cayo Coco.
  • D. La Vega
    La Vega is a major city in the fertile Cibao region of the Dominican Republic, known for its agriculture and vibrant Carnival celebrations.
  • E. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • 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: Viñales
Triple: [Maverick Viñales, familyName, Viñales]
Generated description
Viñales is a Spanish surname most prominently associated with MotoGP rider Maverick Viñales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viñales
Target entity description: Viñales is a Spanish surname most prominently associated with MotoGP rider Maverick Viñales.
  • A. Viñales Valley
    Viñales Valley is a renowned karst landscape in western Cuba, famous for its dramatic limestone mogotes, traditional tobacco farms, and UNESCO World Heritage status.
  • B. Pinar del Río
    Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
  • C. Ciego de Ávila
    Ciego de Ávila is a central Cuban city and provincial capital known for its agricultural production and proximity to popular beach resorts like Cayo Coco.
  • D. La Vega
    La Vega is a major city in the fertile Cibao region of the Dominican Republic, known for its agriculture and vibrant Carnival celebrations.
  • E. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96fe404481908a6b27dcf1406dfb completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.