Triple

T5580381
Position Surface form Disambiguated ID Type / Status
Subject Centro District of Madrid E146623 entity
Predicate borderedBy P224 FINISHED
Object Moncloa-Aravaca District of Madrid
Moncloa-Aravaca District of Madrid is a large, predominantly residential and institutional district in western Madrid that includes the Moncloa transport hub, university area, and several major government and cultural sites.
 E563261 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: Moncloa-Aravaca District of Madrid | Statement: [Centro District of Madrid, borderedBy, Moncloa-Aravaca District of Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moncloa-Aravaca District of Madrid
Context triple: [Centro District of Madrid, borderedBy, Moncloa-Aravaca District of Madrid]
  • A. Centro District of Madrid
    The Centro District of Madrid is the historic heart of Spain’s capital, encompassing its oldest neighborhoods, major landmarks, and key commercial and cultural hubs.
  • B. Chamberí District of Madrid
    Chamberí is a traditional, centrally located district of Madrid known for its elegant 19th-century architecture, lively plazas, and residential character.
  • C. San Blas-Canillejas district of Madrid
    The San Blas-Canillejas district of Madrid is a largely residential eastern district of Spain’s capital, known for its mix of post-war housing estates, commercial areas, and transport links including metro and bus connections to the city center.
  • D. Boadilla del Monte
    Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
  • E. Arganzuela district of Madrid
    The Arganzuela district of Madrid is a central, predominantly residential area on the south bank of the Manzanares River, known for its parks, cultural venues, and proximity to the city’s historic core.
  • 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: Moncloa-Aravaca District of Madrid
Triple: [Centro District of Madrid, borderedBy, Moncloa-Aravaca District of Madrid]
Generated description
Moncloa-Aravaca District of Madrid is a large, predominantly residential and institutional district in western Madrid that includes the Moncloa transport hub, university area, and several major government and cultural sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moncloa-Aravaca District of Madrid
Target entity description: Moncloa-Aravaca District of Madrid is a large, predominantly residential and institutional district in western Madrid that includes the Moncloa transport hub, university area, and several major government and cultural sites.
  • A. Centro District of Madrid
    The Centro District of Madrid is the historic heart of Spain’s capital, encompassing its oldest neighborhoods, major landmarks, and key commercial and cultural hubs.
  • B. Chamberí District of Madrid
    Chamberí is a traditional, centrally located district of Madrid known for its elegant 19th-century architecture, lively plazas, and residential character.
  • C. San Blas-Canillejas district of Madrid
    The San Blas-Canillejas district of Madrid is a largely residential eastern district of Spain’s capital, known for its mix of post-war housing estates, commercial areas, and transport links including metro and bus connections to the city center.
  • D. Boadilla del Monte
    Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
  • E. Arganzuela district of Madrid
    The Arganzuela district of Madrid is a central, predominantly residential area on the south bank of the Manzanares River, known for its parks, cultural venues, and proximity to the city’s historic core.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11331275c8190950247127d8e33c6 completed March 23, 2026, 10:17 a.m.
NEDg Description generation batch_69c113c9bc048190ab517300d56dd8e0 completed March 23, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69c1144e77f881908ab59a67160c1630 completed March 23, 2026, 10:22 a.m.
Created at: March 22, 2026, 3:37 p.m.