Triple

T9724785
Position Surface form Disambiguated ID Type / Status
Subject Villa Clara Province E235578 entity
Predicate hasMunicipality P847 FINISHED
Object Cifuentes
Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
E817443 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: Cifuentes | Statement: [Villa Clara Province, hasMunicipality, Cifuentes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cifuentes
Context triple: [Villa Clara Province, hasMunicipality, Cifuentes]
  • A. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. Coslada
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • D. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • E. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • 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: Cifuentes
Triple: [Villa Clara Province, hasMunicipality, Cifuentes]
Generated description
Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cifuentes
Target entity description: Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
  • A. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. Coslada
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • D. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • E. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7838448190a7b5b259765a0d95 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19faa064081909c1d23044984a17c completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a3cc5420819091ee338da5afe4b7 completed April 4, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69d1a5f265148190af432e3640221a33 completed April 4, 2026, 11:59 p.m.
Created at: March 30, 2026, 8:21 p.m.