Juramento station
E731531
Juramento station is a stop on Buenos Aires’ Line D subway serving the Belgrano neighborhood.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Juramento station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8411517 — 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: Juramento station Context triple: [Line D (Buenos Aires Underground), hasStation, Juramento station]
-
A.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
D.
Salaryevo station
Salaryevo station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
-
E.
Quinta Normal station
Quinta Normal station is an underground stop on Santiago's Metro network that serves the Quinta Normal neighborhood and provides access to the nearby Quinta Normal Park and cultural institutions.
- 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: Juramento station Target entity description: Juramento station is a stop on Buenos Aires’ Line D subway serving the Belgrano neighborhood.
-
A.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
D.
Salaryevo station
Salaryevo station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
-
E.
Quinta Normal station
Quinta Normal station is an underground stop on Santiago's Metro network that serves the Quinta Normal neighborhood and provides access to the nearby Quinta Normal Park and cultural institutions.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
Buenos Aires Underground station
ⓘ
rapid transit station ⓘ |
| adjacentStation |
Congreso de Tucumán station
ⓘ
José Hernández station ⓘ |
| city | Buenos Aires ⓘ |
| continent | South America ⓘ |
| country | Argentina ⓘ |
| fareSystem | Subte ⓘ |
| hasCoordinateSystem | WGS84 ⓘ |
| hasLanguage | Spanish ⓘ |
| hasPlatformType | side platforms ⓘ |
| line |
Line D (Buenos Aires Underground)
ⓘ
linked to:
Line D of Buenos Aires Underground
|
| locatedIn |
Argentina
ⓘ
Belgrano, Buenos Aires ⓘ
linked to:
Belgrano, Buenos Aires, Argentina
Buenos Aires ⓘ |
| namedAfter | Avenida Juramento ⓘ |
| network | Buenos Aires Underground ⓘ |
| openingDate | 1999 ⓘ |
| operator | Buenos Aires Underground ⓘ |
| ownedBy | Government of the City of Buenos Aires ⓘ |
| partOf |
Line D (Buenos Aires Underground)
ⓘ
linked to:
Line D of Buenos Aires Underground
|
| publicTransportSystem |
Subte de Buenos Aires
ⓘ
linked to:
Subte
|
| serves |
Belgrano, Buenos Aires
ⓘ
linked to:
Belgrano, Buenos Aires, Argentina
|
| transportMode | subway ⓘ |
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: Juramento station Description of subject: Juramento station is a stop on Buenos Aires’ Line D subway serving the Belgrano neighborhood.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Line D