Wollishofen tram depot
E591861
Wollishofen tram depot is a public transport facility in Zürich used for housing, maintaining, and dispatching trams serving the city’s tram network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wollishofen tram depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6431464 — 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: Wollishofen tram depot Context triple: [Zürich tram network, hasDepot, Wollishofen tram depot]
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A.
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
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B.
Grunewald depot
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
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C.
Grefsen tram depot
Grefsen tram depot is a major maintenance and storage facility for Oslo’s tram network, serving as one of the key operational hubs for the city’s trams.
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D.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
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E.
Nürnberg-Dürrenhof station
Nürnberg-Dürrenhof station is a local railway stop in Nuremberg, Germany, serving regional and S-Bahn commuter traffic just east of the city’s main station.
- 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: Wollishofen tram depot Target entity description: Wollishofen tram depot is a public transport facility in Zürich used for housing, maintaining, and dispatching trams serving the city’s tram network.
-
A.
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
-
B.
Grunewald depot
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
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C.
Grefsen tram depot
Grefsen tram depot is a major maintenance and storage facility for Oslo’s tram network, serving as one of the key operational hubs for the city’s trams.
-
D.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
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E.
Nürnberg-Dürrenhof station
Nürnberg-Dürrenhof station is a local railway stop in Nuremberg, Germany, serving regional and S-Bahn commuter traffic just east of the city’s main station.
- F. None of above. chosen
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf |
public transport facility
ⓘ
tram depot ⓘ |
| country | Switzerland ⓘ |
| hasFunction |
light maintenance of rolling stock
ⓘ
operational control point for tram services ⓘ stabling of rolling stock ⓘ |
| locatedIn | Zürich NERFINISHED ⓘ |
| locatedInAdministrativeTerritory | canton of Zürich ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInDistrict | Wollishofen NERFINISHED ⓘ |
| operatedBy | Verkehrsbetriebe Zürich NERFINISHED ⓘ |
| ownedBy | Verkehrsbetriebe Zürich NERFINISHED ⓘ |
| partOf | Zürich public transport network NERFINISHED ⓘ |
| servesTransportSystem | Zürich tram network NERFINISHED ⓘ |
| transportModeServed | 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: Wollishofen tram depot Description of subject: Wollishofen tram depot is a public transport facility in Zürich used for housing, maintaining, and dispatching trams serving the city’s tram network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.