Saenz Peña station
E733667
Saenz Peña station is a stop on Line A of the Buenos Aires Underground, serving passengers in the central area of Argentina’s capital city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Saenz Peña station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8181245 — 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: Saenz Peña station Context triple: [Line A (Buenos Aires Underground), hasStation, Saenz Peña station]
-
A.
Pino Suárez station
Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
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B.
Sagrado Corazón station
Sagrado Corazón station is a major rapid transit station in San Juan, Puerto Rico, serving as the northern endpoint of the city's Tren Urbano metro system.
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C.
San Pedrito station
San Pedrito station is the western terminal of Line A on the Buenos Aires Underground (Subte) system in Argentina.
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D.
Eduardo Molina station
Eduardo Molina station is a Mexico City Metro stop named after the nearby Eduardo Molina Avenue, serving commuters in the eastern part of the city.
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E.
Acevedo station
Acevedo station is a major elevated terminal and transfer station on the Medellín Metro system in Medellín, Colombia.
- 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: Saenz Peña station Target entity description: Saenz Peña station is a stop on Line A of the Buenos Aires Underground, serving passengers in the central area of Argentina’s capital city.
-
A.
Pino Suárez station
Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
-
B.
Sagrado Corazón station
Sagrado Corazón station is a major rapid transit station in San Juan, Puerto Rico, serving as the northern endpoint of the city's Tren Urbano metro system.
-
C.
San Pedrito station
San Pedrito station is the western terminal of Line A on the Buenos Aires Underground (Subte) system in Argentina.
-
D.
Eduardo Molina station
Eduardo Molina station is a Mexico City Metro stop named after the nearby Eduardo Molina Avenue, serving commuters in the eastern part of the city.
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E.
Acevedo station
Acevedo station is a major elevated terminal and transfer station on the Medellín Metro system in Medellín, Colombia.
- F. None of above. chosen
Statements (23)
| Predicate | Object |
|---|---|
| instanceOf |
Buenos Aires Underground station
ⓘ
railway station ⓘ |
| cityServed | Buenos Aires NERFINISHED ⓘ |
| connectsTo | other Line A stations ⓘ |
| country | Argentina ⓘ |
| fareSystem | Subte of Buenos Aires NERFINISHED ⓘ |
| hasFunction | passenger transport ⓘ |
| hasPlatformType | underground platforms ⓘ |
| hasRailGauge | standard gauge (inferred from Buenos Aires Underground) ⓘ |
| hasService | urban rail service ⓘ |
| isAccessibleBy | ticketed passengers ⓘ |
| isPartOfNetwork | Buenos Aires public transport network ⓘ |
| languageOfSignage | Spanish ⓘ |
| line | Line A NERFINISHED ⓘ |
| locatedIn |
Argentina
ⓘ
Buenos Aires ⓘ |
| locatedInTimeZone | UTC−03:00 ⓘ |
| operator | Buenos Aires Underground operator ⓘ |
| owner | City of Buenos Aires NERFINISHED ⓘ |
| partOf | Buenos Aires Underground NERFINISHED ⓘ |
| publicTransportType | metro ⓘ |
| serves | central Buenos Aires ⓘ |
| transportSystem | Buenos Aires Underground 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: Saenz Peña station Description of subject: Saenz Peña station is a stop on Line A of the Buenos Aires Underground, serving passengers in the central area of Argentina’s capital city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Line A (Buenos Aires Underground)