Butantã Metro Station
E923628
Butantã Metro Station is an underground station on Line 4–Yellow of the São Paulo Metro, serving the Butantã district and nearby University of São Paulo area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Butantã Metro Station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11398215 — 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: Butantã Metro Station Context triple: [Butantã, São Paulo, contains, Butantã Metro Station]
-
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.
São Sebastião metro station
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.
-
C.
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.
-
D.
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.
-
E.
Brigadeiro metro station
Brigadeiro metro station is an underground São Paulo Metro stop on Line 2–Green located in the busy Avenida Paulista financial and cultural corridor.
- 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: Butantã Metro Station Target entity description: Butantã Metro Station is an underground station on Line 4–Yellow of the São Paulo Metro, serving the Butantã district and nearby University of São Paulo area.
-
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.
São Sebastião metro station
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.
-
C.
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.
-
D.
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.
-
E.
Brigadeiro metro station
Brigadeiro metro station is an underground São Paulo Metro stop on Line 2–Green located in the busy Avenida Paulista financial and cultural corridor.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
metro station
ⓘ
underground railway station ⓘ |
| accessible | yes ⓘ |
| city | São Paulo NERFINISHED ⓘ |
| country | Brazil ⓘ |
| fareMediumAccepted |
contactless smart card
ⓘ
magnetic ticket ⓘ |
| fareZone | São Paulo Metro fare system ⓘ |
| hasConnection |
bus terminal
ⓘ
intermunicipal bus lines ⓘ municipal bus lines ⓘ |
| hasEntrance | street-level access ⓘ |
| hasFareCollection | electronic ticketing ⓘ |
| hasLanguage |
English signage
ⓘ
Portuguese signage ⓘ |
| hasLevel |
platform level
ⓘ
underground concourse ⓘ |
| hasLighting | artificial lighting ⓘ |
| hasPlatformConfiguration | 1 island platform ⓘ |
| hasSecurity | station security staff ⓘ |
| hasSignage |
directional signs
ⓘ
line maps ⓘ |
| hasStationCode | BTN NERFINISHED ⓘ |
| hasTicketBarrier | automatic fare gates ⓘ |
| hasTracks | 2 ⓘ |
| hasVerticalTransport |
elevators
ⓘ
escalators ⓘ |
| isOnNetwork | São Paulo Metro network NERFINISHED ⓘ |
| isServedBy | Line 4–Yellow trains NERFINISHED ⓘ |
| line | Line 4–Yellow NERFINISHED ⓘ |
| locatedIn |
Brazil
ⓘ
Butantã district NERFINISHED ⓘ São Paulo ⓘ São Paulo state NERFINISHED ⓘ |
| networkColor | yellow ⓘ |
| operator | ViaQuatro NERFINISHED ⓘ |
| owner | Government of the State of São Paulo NERFINISHED ⓘ |
| partOf | São Paulo Metro NERFINISHED ⓘ |
| platformType | island platform ⓘ |
| safetyFeature |
CCTV surveillance
ⓘ
emergency exits ⓘ fire safety systems ⓘ |
| serves |
Butantã district
NERFINISHED
ⓘ
University of São Paulo area NERFINISHED ⓘ |
| servesInstitution | University of São Paulo NERFINISHED ⓘ |
| servesNeighborhood | Butantã NERFINISHED ⓘ |
| structureType | underground ⓘ |
| ticketingSystem | Bilhete Único NERFINISHED ⓘ |
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: Butantã Metro Station Description of subject: Butantã Metro Station is an underground station on Line 4–Yellow of the São Paulo Metro, serving the Butantã district and nearby University of São Paulo area.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.