Triple

T21409951
Position Surface form Disambiguated ID Type / Status
Subject Las Villuercas-Trujillo area E528140 entity
Predicate contains P35 FINISHED
Object Logrosán
Logrosán is a municipality in the province of Cáceres, Extremadura, Spain, known for its mining history and location within the mountainous Villuercas region.
 E1484346 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: Logrosán | Statement: [Las Villuercas-Trujillo area, contains, Logrosán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Logrosán
Context triple: [Las Villuercas-Trujillo area, contains, Logrosán]
  • A. Arnedo
    Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
  • B. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • C. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • D. Galdámez
    Galdámez is a Spanish-language surname of likely Iberian or Latin American origin.
  • 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: Logrosán
Triple: [Las Villuercas-Trujillo area, contains, Logrosán]
Generated description
Logrosán is a municipality in the province of Cáceres, Extremadura, Spain, known for its mining history and location within the mountainous Villuercas region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Logrosán
Target entity description: Logrosán is a municipality in the province of Cáceres, Extremadura, Spain, known for its mining history and location within the mountainous Villuercas region.
  • A. Arnedo
    Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
  • B. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • C. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • D. Galdámez
    Galdámez is a Spanish-language surname of likely Iberian or Latin American origin.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b1b4d4608190a86a6cd279709b21 completed April 22, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8f5491081908b3d3d3f9425d6ba completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c99200a88190ad13565044dfcac0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca3c4ec48190829b1bd83b933f53 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 5:41 p.m.