Princesa Street
E803115
Princesa Street is a major thoroughfare in Madrid, Spain, known for its shops, cinemas, and connection between Plaza de España and the Argüelles area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Princesa Street canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9210653 — 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.
Target entity: Princesa Street Context triple: [Parque del Oeste, hasNearbyLandmark, Princesa Street]
-
A.
Princess Street
Princess Street is a central thoroughfare in Manchester, England, known for running through key districts including the city's Chinatown.
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B.
Prince's Street
Prince's Street is a short street in the City of London, located in the historic financial district near the Bank of England.
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C.
Bishop Street
Bishop Street is a major commercial thoroughfare in Honolulu, Hawaii, known as a financial and business hub lined with office towers and corporate headquarters.
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D.
Tay Street
Tay Street is a prominent riverside thoroughfare in Perth, Scotland, known for lining the River Tay and hosting notable landmarks such as St John’s Kirk.
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E.
Cathedral Street
Cathedral Street is a city-center thoroughfare that serves as a key pedestrian approach route to Exchange Square.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Princesa Street Target entity description: Princesa Street is a major thoroughfare in Madrid, Spain, known for its shops, cinemas, and connection between Plaza de España and the Argüelles area.
-
A.
Princess Street
Princess Street is a central thoroughfare in Manchester, England, known for running through key districts including the city's Chinatown.
-
B.
Prince's Street
Prince's Street is a short street in the City of London, located in the historic financial district near the Bank of England.
-
C.
Bishop Street
Bishop Street is a major commercial thoroughfare in Honolulu, Hawaii, known as a financial and business hub lined with office towers and corporate headquarters.
-
D.
Tay Street
Tay Street is a prominent riverside thoroughfare in Perth, Scotland, known for lining the River Tay and hosting notable landmarks such as St John’s Kirk.
-
E.
Cathedral Street
Cathedral Street is a city-center thoroughfare that serves as a key pedestrian approach route to Exchange Square.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
street
ⓘ
thoroughfare ⓘ |
| belongsTo | road network of the Moncloa-Aravaca district ⓘ |
| connects |
Argüelles area
NERFINISHED
ⓘ
Plaza de España NERFINISHED ⓘ |
| country | Spain ⓘ |
| hasCommercialActivity |
entertainment
ⓘ
hospitality ⓘ retail ⓘ |
| hasLanes | multiple traffic lanes ⓘ |
| hasNameInLanguage | Calle de la Princesa NERFINISHED ⓘ |
| hasNearbyFacility |
hotels
ⓘ
parking facilities ⓘ |
| hasNearbyInstitution |
Universidad Complutense de Madrid area
ⓘ
educational centers ⓘ |
| hasNearbyLandmark |
Argüelles neighborhood
NERFINISHED
ⓘ
Moncloa area NERFINISHED ⓘ Plaza de España NERFINISHED ⓘ |
| hasPublicTransport |
EMT Madrid bus lines
NERFINISHED
ⓘ
Madrid Metro NERFINISHED ⓘ |
| knownFor |
cafés
ⓘ
cinemas ⓘ department stores ⓘ intense road traffic ⓘ restaurants ⓘ shops ⓘ |
| languageOfName | Spanish ⓘ |
| locatedIn |
Argüelles
NERFINISHED
ⓘ
Central Madrid urban area NERFINISHED ⓘ Madrid ⓘ Moncloa-Aravaca district NERFINISHED ⓘ |
| partOf |
Madrid urban road network
NERFINISHED
ⓘ
historical expansion area of Madrid ⓘ |
| pedestrianActivity | high ⓘ |
| roadType | urban street ⓘ |
| servedByMetroStation |
Argüelles station
NERFINISHED
ⓘ
Plaza de España station NERFINISHED ⓘ |
| timePeriodOfIntenseActivity |
daytime
ⓘ
evening ⓘ |
| urbanFunction |
commercial axis
ⓘ
traffic artery ⓘ |
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.
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.
Subject: Princesa Street Description of subject: Princesa Street is a major thoroughfare in Madrid, Spain, known for its shops, cinemas, and connection between Plaza de España and the Argüelles area.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.