Triple

T19005903
Position Surface form Disambiguated ID Type / Status
Subject Torrelodones E465080 entity
Predicate hasPart P35 FINISHED
Object Los Peñascales
Los Peñascales is a residential area in the municipality of Torrelodones, near Madrid, known for its natural surroundings and suburban character.
 E1353872 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: Los Peñascales | Statement: [Torrelodones, hasPart, Los Peñascales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Los Peñascales
Context triple: [Torrelodones, hasPart, Los Peñascales]
  • A. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • B. Los Pedroches
    Los Pedroches is a rural comarca in northern Córdoba, Spain, known for its extensive dehesa landscapes, holm oak forests, and Iberian pig farming.
  • C. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • D. Las Plassas
    Las Plassas is a small municipality in the Province of South Sardinia, Italy, known for its rural character and proximity to important Nuragic archaeological sites.
  • E. La Mojonera
    La Mojonera is a municipality in Spain’s Almería province, notable for its extensive greenhouse agriculture within the so‑called “Sea of Plastic” region.
  • 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: Los Peñascales
Triple: [Torrelodones, hasPart, Los Peñascales]
Generated description
Los Peñascales is a residential area in the municipality of Torrelodones, near Madrid, known for its natural surroundings and suburban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Los Peñascales
Target entity description: Los Peñascales is a residential area in the municipality of Torrelodones, near Madrid, known for its natural surroundings and suburban character.
  • A. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • B. Los Pedroches
    Los Pedroches is a rural comarca in northern Córdoba, Spain, known for its extensive dehesa landscapes, holm oak forests, and Iberian pig farming.
  • C. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • D. Las Plassas
    Las Plassas is a small municipality in the Province of South Sardinia, Italy, known for its rural character and proximity to important Nuragic archaeological sites.
  • E. La Mojonera
    La Mojonera is a municipality in Spain’s Almería province, notable for its extensive greenhouse agriculture within the so‑called “Sea of Plastic” region.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a494688190a277b2cddf300235 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b45fe5d481908a50081362a5673c completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b5dfac0c8190b67921280d5ab1fe completed May 14, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a05b68aba3081908ca21d732e45f454 completed May 14, 2026, 11:48 a.m.
Created at: April 10, 2026, 12:01 p.m.