Anhangabaú station (São Paulo Metro)
E282965
Anhangabaú station is a São Paulo Metro station in the city center that serves as a key access point to the historic Municipal Theatre and surrounding downtown area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Anhangabaú station (São Paulo Metro) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2633753 — 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: Anhangabaú station (São Paulo Metro) Context triple: [Municipal Theatre of São Paulo, publicTransitAccess, Anhangabaú station (São Paulo Metro)]
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A.
Botafogo metro station
Botafogo metro station is a key underground rapid transit stop on Rio de Janeiro’s Metro system, serving the Botafogo neighborhood in the city’s South Zone.
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B.
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.
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C.
Terreiro do Paço metro station
Terreiro do Paço metro station is a Lisbon Metro station on the Blue Line, located near the historic waterfront square Praça do Comércio in central Lisbon, Portugal.
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D.
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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E.
Antero de Quental metro station
Antero de Quental metro station is an underground rapid transit station in Rio de Janeiro’s Leblon neighborhood, serving Line 4 of the city’s metro system.
- 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: Anhangabaú station (São Paulo Metro) Target entity description: Anhangabaú station is a São Paulo Metro station in the city center that serves as a key access point to the historic Municipal Theatre and surrounding downtown area.
-
A.
Botafogo metro station
Botafogo metro station is a key underground rapid transit stop on Rio de Janeiro’s Metro system, serving the Botafogo neighborhood in the city’s South Zone.
-
B.
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.
-
C.
Terreiro do Paço metro station
Terreiro do Paço metro station is a Lisbon Metro station on the Blue Line, located near the historic waterfront square Praça do Comércio in central Lisbon, Portugal.
-
D.
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.
-
E.
Antero de Quental metro station
Antero de Quental metro station is an underground rapid transit station in Rio de Janeiro’s Leblon neighborhood, serving Line 4 of the city’s metro system.
- F. None of above. chosen
Statements (40)
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: Anhangabaú station (São Paulo Metro) Description of subject: Anhangabaú station is a São Paulo Metro station in the city center that serves as a key access point to the historic Municipal Theatre and surrounding downtown area.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.