San Blas-Canillejas district
E382808
The San Blas-Canillejas district is a largely residential area in the eastern part of Madrid, Spain, known for its mix of post-war neighborhoods, green spaces, and major transport links.
All labels observed (3)
| Label | Occurrences |
|---|---|
| San Blas-Canillejas district canonical | 2 |
| Distrito de San Blas-Canillejas | 1 |
| Vicálvaro district | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3706403 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Blas-Canillejas district Context triple: [Cívitas Metropolitano Stadium, locatedIn, San Blas-Canillejas district]
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A.
Cubanacán district
The Cubanacán district is a western area of Havana, Cuba, known for its diplomatic residences, cultural institutions, and conference facilities.
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B.
La Calleja neighborhood
La Calleja neighborhood is a residential area in the Usaquén locality of northern Bogotá, Colombia, known for its quiet streets, mid- to high-income housing, and proximity to major commercial and business zones.
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C.
Chamartín
Chamartín is a district in northern Madrid, Spain, known for its major transport hub and as the home area of Real Madrid’s Santiago Bernabéu Stadium.
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D.
La Ronda neighborhood
La Ronda neighborhood is a historic, colonial-era district in Quito, Ecuador, known for its narrow cobblestone streets, traditional architecture, and vibrant arts and nightlife scene.
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E.
Rinconada district
Rinconada district is a cultural and administrative area in the Bicol Region of the Philippines known for its distinct Rinconada Bikol–speaking communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Blas-Canillejas district Target entity description: The San Blas-Canillejas district is a largely residential area in the eastern part of Madrid, Spain, known for its mix of post-war neighborhoods, green spaces, and major transport links.
-
A.
Cubanacán district
The Cubanacán district is a western area of Havana, Cuba, known for its diplomatic residences, cultural institutions, and conference facilities.
-
B.
La Calleja neighborhood
La Calleja neighborhood is a residential area in the Usaquén locality of northern Bogotá, Colombia, known for its quiet streets, mid- to high-income housing, and proximity to major commercial and business zones.
-
C.
Chamartín
Chamartín is a district in northern Madrid, Spain, known for its major transport hub and as the home area of Real Madrid’s Santiago Bernabéu Stadium.
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D.
La Ronda neighborhood
La Ronda neighborhood is a historic, colonial-era district in Quito, Ecuador, known for its narrow cobblestone streets, traditional architecture, and vibrant arts and nightlife scene.
-
E.
Rinconada district
Rinconada district is a cultural and administrative area in the Bicol Region of the Philippines known for its distinct Rinconada Bikol–speaking communities.
- F. None of above. chosen
Statements (47)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: San Blas-Canillejas district Description of subject: The San Blas-Canillejas district is a largely residential area in the eastern part of Madrid, Spain, known for its mix of post-war neighborhoods, green spaces, and major transport links.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
San Blas-Canillejas district
→
hasOfficialName
→
San Blas-Canillejas district
self-linksurface differs
ⓘ
subject surface form:
San Blas-Canillejas
this entity surface form:
Distrito de San Blas-Canillejas
subject surface form:
Estadio Metropolitano
subject surface form:
Moratalaz
this entity surface form:
Vicálvaro district