Elmwood Depot
E693884
Elmwood Depot is a SEPTA trolley facility in Philadelphia that serves as a major storage and maintenance hub for Route 101 and other light rail vehicles.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Elmwood Depot canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7792174 — 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.
Target entity: Elmwood Depot Context triple: [SEPTA Route 101 trolley, depot, Elmwood Depot]
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A.
Riverside Depot
Riverside Depot is a retail shop located on Discovery Island in Disney's Animal Kingdom, offering themed merchandise and souvenirs to park guests.
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B.
Northumberland Park Depot
Northumberland Park Depot is a major London Underground maintenance and stabling facility serving trains on the Victoria line.
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C.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
D.
Kelso Depot
Kelso Depot is a historic former railroad station and visitor center in California’s Mojave Desert, notable for its Spanish Mission Revival architecture and role in serving travelers and workers along the Union Pacific Railroad.
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E.
Stonebridge Park depot
Stonebridge Park depot is a London Underground maintenance and stabling facility serving trains on the Bakerloo line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Elmwood Depot Target entity description: Elmwood Depot is a SEPTA trolley facility in Philadelphia that serves as a major storage and maintenance hub for Route 101 and other light rail vehicles.
-
A.
Riverside Depot
Riverside Depot is a retail shop located on Discovery Island in Disney's Animal Kingdom, offering themed merchandise and souvenirs to park guests.
-
B.
Northumberland Park Depot
Northumberland Park Depot is a major London Underground maintenance and stabling facility serving trains on the Victoria line.
-
C.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
D.
Kelso Depot
Kelso Depot is a historic former railroad station and visitor center in California’s Mojave Desert, notable for its Spanish Mission Revival architecture and role in serving travelers and workers along the Union Pacific Railroad.
-
E.
Stonebridge Park depot
Stonebridge Park depot is a London Underground maintenance and stabling facility serving trains on the Bakerloo line.
- F. None of above. chosen
Statements (17)
| Predicate | Object |
|---|---|
| instanceOf |
SEPTA facility
ⓘ
rail maintenance facility ⓘ trolley depot ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| function |
maintenance hub for light rail vehicles
ⓘ
storage hub for light rail vehicles ⓘ |
| locatedInAdministrativeTerritory | City of Philadelphia NERFINISHED ⓘ |
| locatedInMetropolitanArea | Delaware Valley NERFINISHED ⓘ |
| location |
Pennsylvania
NERFINISHED
ⓘ
Philadelphia ⓘ |
| network | SEPTA Subway–Surface Trolley Lines NERFINISHED ⓘ |
| operator | SEPTA NERFINISHED ⓘ |
| ownedBy | Southeastern Pennsylvania Transportation Authority NERFINISHED ⓘ |
| servesRoute | SEPTA Route 101 NERFINISHED ⓘ |
| serviceType |
light rail
ⓘ
trolley ⓘ |
| transportationSystem | SEPTA Trolley System 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.
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.
Subject: Elmwood Depot Description of subject: Elmwood Depot is a SEPTA trolley facility in Philadelphia that serves as a major storage and maintenance hub for Route 101 and other light rail vehicles.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.