Triple

T16129646
Position Surface form Disambiguated ID Type / Status
Subject Alcarria E391360 entity
Predicate hasTown P847 FINISHED
Object Cifuentes
Cifuentes is a historic town in the province of Guadalajara, Spain, known for its medieval architecture and location within the Alcarria region.
E1195762 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: [Alcarria, hasTown, Cifuentes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cifuentes
Context triple: [Alcarria, hasTown, Cifuentes]
  • A. Cifuentes
    Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
  • B. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • C. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • D. Ciudad Rodrigo
    Ciudad Rodrigo is a historic fortified city in western Spain near the Portuguese border, known for its strategic military significance during the Peninsular War.
  • E. Cabrils
    Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
  • 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: [Alcarria, hasTown, Cifuentes]
Generated description
Cifuentes is a historic town in the province of Guadalajara, Spain, known for its medieval architecture and location within the Alcarria region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cifuentes
Target entity description: Cifuentes is a historic town in the province of Guadalajara, Spain, known for its medieval architecture and location within the Alcarria region.
  • A. Cifuentes
    Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
  • B. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • C. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • D. Ciudad Rodrigo
    Ciudad Rodrigo is a historic fortified city in western Spain near the Portuguese border, known for its strategic military significance during the Peninsular War.
  • E. Cabrils
    Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2aff07c8190bf693f652e2a2808 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff39371648190b3f694df00ff4f3e completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff47a52cc8190b0ad7c37ea444159 completed May 10, 2026, 2:59 a.m.
Created at: April 10, 2026, 5:01 a.m.