São Sebastião metro station
E877770
São Sebastião metro station is a major Lisbon Metro interchange station on the Blue and Red lines, serving the central area of the city and nearby attractions such as the Calouste Gulbenkian Museum.
All labels observed (1)
| Label | Occurrences |
|---|---|
| São Sebastião metro station canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T10656344 — 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: São Sebastião metro station Context triple: [Calouste Gulbenkian Museum, publicTransitAccess, São Sebastião metro station]
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A.
Cosme Velho station
Cosme Velho station is the lower terminus of Rio de Janeiro’s Corcovado Rack Railway, serving as the main departure point for visitors traveling up to the Christ the Redeemer statue.
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B.
Joana Bezerra metro station
Joana Bezerra metro station is a key urban rail stop in Recife, Brazil, serving the Ilha Joana Bezerra area and connecting it to the city’s broader metro network.
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C.
Baixa-Chiado metro station
Baixa-Chiado metro station is a major underground interchange in central Lisbon, Portugal, connecting key metro lines and serving as a gateway to the historic Baixa and Chiado districts.
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D.
Consolação metro station
Consolação metro station is a key São Paulo Metro stop on Line 2–Green, located in the central business and cultural corridor of Avenida Paulista.
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E.
Praça Onze metro station
Praça Onze metro station is a Rio de Janeiro Metro station that serves the central area near the Sambadrome Marquês de Sapucaí, providing key access for Carnival events and daily commuters.
- 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: São Sebastião metro station Target entity description: São Sebastião metro station is a major Lisbon Metro interchange station on the Blue and Red lines, serving the central area of the city and nearby attractions such as the Calouste Gulbenkian Museum.
-
A.
Cosme Velho station
Cosme Velho station is the lower terminus of Rio de Janeiro’s Corcovado Rack Railway, serving as the main departure point for visitors traveling up to the Christ the Redeemer statue.
-
B.
Joana Bezerra metro station
Joana Bezerra metro station is a key urban rail stop in Recife, Brazil, serving the Ilha Joana Bezerra area and connecting it to the city’s broader metro network.
-
C.
Baixa-Chiado metro station
Baixa-Chiado metro station is a major underground interchange in central Lisbon, Portugal, connecting key metro lines and serving as a gateway to the historic Baixa and Chiado districts.
-
D.
Consolação metro station
Consolação metro station is a key São Paulo Metro stop on Line 2–Green, located in the central business and cultural corridor of Avenida Paulista.
-
E.
Praça Onze metro station
Praça Onze metro station is a Rio de Janeiro Metro station that serves the central area near the Sambadrome Marquês de Sapucaí, providing key access for Carnival events and daily commuters.
- F. None of above. chosen
Statements (48)
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: São Sebastião metro station Description of subject: São Sebastião metro station is a major Lisbon Metro interchange station on the Blue and Red lines, serving the central area of the city and nearby attractions such as the Calouste Gulbenkian Museum.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.