Weißensee tram depot
E596052
Weißensee tram depot is a major tram facility in Berlin’s Weißensee district used for housing, maintaining, and dispatching vehicles of the city’s tram network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Weißensee tram depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6475140 — 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: Weißensee tram depot Context triple: [Berlin tram, hasDepot, Weißensee tram depot]
-
A.
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.
-
B.
Oerlikon tram depot
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.
-
C.
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
-
D.
Bad Waldsee railway station
Bad Waldsee railway station is a regional train station in the spa town of Bad Waldsee in Baden-Württemberg, Germany, providing rail connections for local residents and visitors.
-
E.
Jungfernheide station
Jungfernheide station is a major public transport hub in Berlin’s Charlottenburg-Nord district, serving S-Bahn, U-Bahn, and regional rail lines.
- 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: Weißensee tram depot Target entity description: Weißensee tram depot is a major tram facility in Berlin’s Weißensee district used for housing, maintaining, and dispatching vehicles of the city’s tram network.
-
A.
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.
-
B.
Oerlikon tram depot
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.
-
C.
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
-
D.
Bad Waldsee railway station
Bad Waldsee railway station is a regional train station in the spa town of Bad Waldsee in Baden-Württemberg, Germany, providing rail connections for local residents and visitors.
-
E.
Jungfernheide station
Jungfernheide station is a major public transport hub in Berlin’s Charlottenburg-Nord district, serving S-Bahn, U-Bahn, and regional rail lines.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
public transport facility
ⓘ
tram depot ⓘ |
| country | Germany ⓘ |
| hasInfrastructureType |
administration building
ⓘ
maintenance workshops ⓘ stabling tracks ⓘ tram depot yard ⓘ |
| hasLanguageOfWorkOrName | German ⓘ |
| isPartOfPublicTransportSystem |
Berlin public transport system
ⓘ
linked to:
Berlin public transport network
|
| locatedIn |
Berlin
ⓘ
Berlin tram network area ⓘ Weißensee ⓘ |
| locatedInAdministrativeTerritory | Berlin ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInUrbanDistrict | Pankow ⓘ |
| network | BVG tram network ⓘ |
| operator | Berliner Verkehrsbetriebe ⓘ |
| ownedBy | Berliner Verkehrsbetriebe ⓘ |
| partOf |
Berlin tram network
ⓘ
linked to:
Berlin tram
|
| servesCity | Berlin ⓘ |
| transportModeServed | tram ⓘ |
| usedFor |
tram dispatching
ⓘ
tram housing ⓘ tram maintenance ⓘ tram stabling ⓘ |
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: Weißensee tram depot Description of subject: Weißensee tram depot is a major tram facility in Berlin’s Weißensee district used for housing, maintaining, and dispatching vehicles of the city’s tram network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.