Triple

T22606746
Position Surface form Disambiguated ID Type / Status
Subject Cuenca province E566580 entity
Predicate hasTown P847 FINISHED
Object Las Pedroñeras
Las Pedroñeras is a Spanish town in the autonomous community of Castilla-La Mancha, widely known as a major center of garlic production.
 E1554260 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: Las Pedroñeras | Statement: [Cuenca province, hasTown, Las Pedroñeras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Las Pedroñeras
Context triple: [Cuenca province, hasTown, Las Pedroñeras]
  • A. Perales del Puerto
    Perales del Puerto is a small rural municipality in the Sierra de Gata region of Extremadura, western Spain.
  • B. Pedreña
    Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
  • C. Soto de Viñuelas
    Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
  • D. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • E. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • 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: Las Pedroñeras
Triple: [Cuenca province, hasTown, Las Pedroñeras]
Generated description
Las Pedroñeras is a Spanish town in the autonomous community of Castilla-La Mancha, widely known as a major center of garlic production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Las Pedroñeras
Target entity description: Las Pedroñeras is a Spanish town in the autonomous community of Castilla-La Mancha, widely known as a major center of garlic production.
  • A. Perales del Puerto
    Perales del Puerto is a small rural municipality in the Sierra de Gata region of Extremadura, western Spain.
  • B. Pedreña
    Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
  • C. Soto de Viñuelas
    Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
  • D. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • E. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • 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_6a0b9801fc548190a53d0bd13ff6e9bf completed May 18, 2026, 10:51 p.m.
NEDg Description generation batch_6a0b9ad91c1881909acbce7dde8d4ac6 completed May 18, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9b2435ac8190bced47fd922cb908 completed May 18, 2026, 11:05 p.m.
Created at: April 17, 2026, 2:54 p.m.