Antero de Quental metro station
E216241
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.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Antero de Quental metro station canonical | 2 |
| Antero de Quental station | 2 |
| Lisbon Metro Antero de Quental station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1932088 — 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: Antero de Quental metro station Context triple: [Leblon, hasPublicTransport, Antero de Quental metro station]
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A.
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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B.
Cais do Sodré railway station
Cais do Sodré railway station is a major Lisbon transport hub that combines suburban rail, metro, ferry, and bus connections near the city’s waterfront.
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C.
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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D.
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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E.
Lisbon Oriente railway station
Lisbon Oriente railway station is a major modern transport hub in Lisbon, Portugal, known for its striking contemporary architecture and role as a key national and international rail interchange.
- 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: Antero de Quental metro station Target entity description: 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.
-
A.
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.
-
B.
Cais do Sodré railway station
Cais do Sodré railway station is a major Lisbon transport hub that combines suburban rail, metro, ferry, and bus connections near the city’s waterfront.
-
C.
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.
-
D.
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.
-
E.
Lisbon Oriente railway station
Lisbon Oriente railway station is a major modern transport hub in Lisbon, Portugal, known for its striking contemporary architecture and role as a key national and international rail interchange.
- F. None of above. chosen
Statements (49)
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: Antero de Quental metro station Description of subject: 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.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.