San Pedrito depot
E729744
San Pedrito depot is a maintenance and storage facility serving Line A of the Buenos Aires Underground at its western terminus.
All labels observed (1)
| Label | Occurrences |
|---|---|
| San Pedrito depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8376557 — 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: San Pedrito depot Context triple: [Buenos Aires Underground Line A, depot, San Pedrito depot]
-
A.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
B.
Escudero Station
Escudero Station is a Chilean Antarctic research base located on King George Island that supports scientific studies and logistical operations in the region.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Puerto station
Puerto station is the central waterfront terminus of the Valparaíso Metro in Valparaíso, Chile, serving as a key access point to the historic port city center.
-
E.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
- 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: San Pedrito depot Target entity description: San Pedrito depot is a maintenance and storage facility serving Line A of the Buenos Aires Underground at its western terminus.
-
A.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
B.
Escudero Station
Escudero Station is a Chilean Antarctic research base located on King George Island that supports scientific studies and logistical operations in the region.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Puerto station
Puerto station is the central waterfront terminus of the Valparaíso Metro in Valparaíso, Chile, serving as a key access point to the historic port city center.
-
E.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
maintenance facility
ⓘ
railway depot ⓘ |
| associatedStation | San Pedrito station ⓘ |
| hasAccessType | track connection from Line A ⓘ |
| hasFacilityType |
covered maintenance sheds
ⓘ
open-air storage tracks ⓘ |
| locatedAtTerminusOf | western terminus of Line A (Buenos Aires Underground) ⓘ |
| locatedInCity | Buenos Aires ⓘ |
| locatedInCountry | Argentina ⓘ |
| locatedInTransportSystem | Buenos Aires Underground ⓘ |
| partOf | infrastructure of Line A (Buenos Aires Underground) ⓘ |
| positionOnNetwork | western end of Line A infrastructure ⓘ |
| primaryFunction |
maintenance of rolling stock
ⓘ
storage of rolling stock ⓘ |
| servesLine |
Line A (Buenos Aires Underground)
ⓘ
linked to:
Buenos Aires Underground Line A
|
| servesModeOfTransport | rapid transit ⓘ |
| servesOperator | Buenos Aires Underground operator (Subterráneos de Buenos Aires or concessionaire) ⓘ |
| usedFor |
inspection of trains
ⓘ
overnight stabling of trains ⓘ repair of trains ⓘ |
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: San Pedrito depot Description of subject: San Pedrito depot is a maintenance and storage facility serving Line A of the Buenos Aires Underground at its western terminus.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.