Triple

T10131618
Position Surface form Disambiguated ID Type / Status
Subject Asturias E226350 entity
Predicate contains P35 FINISHED
Object Cudillero
Cudillero is a picturesque fishing village and popular tourist destination on the northern coast of Spain, known for its colorful hillside houses and scenic harbor.
 E841795 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: Cudillero | Statement: [Asturias, contains, Cudillero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cudillero
Context triple: [Asturias, contains, Cudillero]
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Casnedo
    Casnedo is a small locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
  • D. Briceño
    Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
  • E. Capiceño
    Capiceño is an alternative name for the Capiznon language, an Austronesian language spoken primarily in the province of Capiz in the Philippines.
  • 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: Cudillero
Triple: [Asturias, contains, Cudillero]
Generated description
Cudillero is a picturesque fishing village and popular tourist destination on the northern coast of Spain, known for its colorful hillside houses and scenic harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cudillero
Target entity description: Cudillero is a picturesque fishing village and popular tourist destination on the northern coast of Spain, known for its colorful hillside houses and scenic harbor.
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Casnedo
    Casnedo is a small locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
  • D. Briceño
    Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
  • E. Capiceño
    Capiceño is an alternative name for the Capiznon language, an Austronesian language spoken primarily in the province of Capiz in the Philippines.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc8462ac81908485115bcf2a2d19 completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cdf5baac8190a117cb5cb00de215 completed April 5, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce71fa888190b8dd13df83a2cd78 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:06 p.m.