Triple

T22606555
Position Surface form Disambiguated ID Type / Status
Subject Calamocha E566576 entity
Predicate hasSubdivision P747 FINISHED
Object Villarejo
Villarejo is a small locality that forms part of the municipality of Calamocha in the province of Teruel, Spain.
E1546552 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: Villarejo | Statement: [Calamocha, hasSubdivision, Villarejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villarejo
Context triple: [Calamocha, hasSubdivision, Villarejo]
  • A. Villaz
    Villaz is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • B. Villaba
    Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
  • C. Valle village
    Valle village is a small settlement in southern Norway that serves as the main local hub for services and administration in the Valle municipality of Agder county.
  • D. Villarepos
    Villarepos is a small Swiss municipality located in the canton of Fribourg.
  • E. Villar
    Villar is a Spanish surname borne by various notable figures, including architects, politicians, and athletes.
  • 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: Villarejo
Triple: [Calamocha, hasSubdivision, Villarejo]
Generated description
Villarejo is a small locality that forms part of the municipality of Calamocha in the province of Teruel, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Villarejo
Target entity description: Villarejo is a small locality that forms part of the municipality of Calamocha in the province of Teruel, Spain.
  • A. Villaz
    Villaz is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • B. Villaba
    Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
  • C. Valle village
    Valle village is a small settlement in southern Norway that serves as the main local hub for services and administration in the Valle municipality of Agder county.
  • D. Villarepos
    Villarepos is a small Swiss municipality located in the canton of Fribourg.
  • E. Villar
    Villar is a Spanish surname borne by various notable figures, including architects, politicians, and athletes.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4df72f2c819095311b64d5c9a400 completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b51e5b7a0819098f9b93051c27ca2 completed May 18, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0b529631048190ae49bb7ca38d669e completed May 18, 2026, 5:55 p.m.
Created at: April 17, 2026, 2:54 p.m.