Oerlikon tram depot
E593361
The Oerlikon tram depot is a public transport facility in the Zürich district of Oerlikon used for housing, maintaining, and dispatching trams on the city’s network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Oerlikon tram depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6431462 — 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: Oerlikon tram depot Context triple: [Zürich tram network, hasDepot, Oerlikon tram depot]
-
A.
Irchel tram depot
Irchel tram depot is a tram maintenance and storage facility in Zürich that serves part of the city’s urban tram network.
-
B.
Oerlikon tram stop
Oerlikon tram stop is a public transport stop in the Zürich district of Oerlikon, serving as part of the city’s urban tram system.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Wollishofen tram depot
Wollishofen tram depot is a public transport facility in Zürich used for housing, maintaining, and dispatching trams serving the city’s tram network.
-
E.
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
- 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: Oerlikon tram depot Target entity description: The Oerlikon tram depot is a public transport facility in the Zürich district of Oerlikon used for housing, maintaining, and dispatching trams on the city’s network.
-
A.
Irchel tram depot
Irchel tram depot is a tram maintenance and storage facility in Zürich that serves part of the city’s urban tram network.
-
B.
Oerlikon tram stop
Oerlikon tram stop is a public transport stop in the Zürich district of Oerlikon, serving as part of the city’s urban tram system.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Wollishofen tram depot
Wollishofen tram depot is a public transport facility in Zürich used for housing, maintaining, and dispatching trams serving the city’s tram network.
-
E.
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
- F. None of above. chosen
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf |
public transport facility
ⓘ
tram depot ⓘ |
| hasFunction |
operations base
ⓘ
vehicle maintenance ⓘ vehicle storage ⓘ |
| isPartOf | urban public transport infrastructure in Zürich ⓘ |
| locatedIn |
Oerlikon
ⓘ
Zürich ⓘ
linked to:
Zurich
|
| locatedInCountry | Switzerland ⓘ |
| networkOperator | Zürich public transport operator ⓘ |
| ownedBy |
Stadt Zürich (City of Zurich)
ⓘ
linked to:
Zurich
|
| partOf | Zürich tram network ⓘ |
| serves | public transport in Zürich ⓘ |
| servesDistrict | Oerlikon ⓘ |
| transportMode | tram ⓘ |
| usedFor |
dispatching trams
ⓘ
housing trams ⓘ maintaining trams ⓘ |
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: Oerlikon tram depot Description of subject: The Oerlikon tram depot is a public transport facility in the Zürich district of Oerlikon used for housing, maintaining, and dispatching trams on the city’s network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.