Lichtenberg tram depot
E596051
Lichtenberg tram depot is a major maintenance and storage facility for Berlin’s tram network located in the Lichtenberg district of the city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lichtenberg tram depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6475139 — 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: Lichtenberg tram depot Context triple: [Berlin tram, hasDepot, Lichtenberg 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.
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.
-
C.
Lichtenberg station
Lichtenberg station is a major railway and transport hub in the Lichtenberg district of Berlin, Germany, serving regional, long-distance, and urban transit lines.
-
D.
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.
-
E.
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.
- 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: Lichtenberg tram depot Target entity description: Lichtenberg tram depot is a major maintenance and storage facility for Berlin’s tram network located in the Lichtenberg district of the city.
-
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.
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.
-
C.
Lichtenberg station
Lichtenberg station is a major railway and transport hub in the Lichtenberg district of Berlin, Germany, serving regional, long-distance, and urban transit lines.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
public transport facility
ⓘ
tram depot ⓘ transport infrastructure ⓘ |
| city | Berlin ⓘ |
| continent | Europe ⓘ |
| country | Germany ⓘ |
| district | Lichtenberg ⓘ |
| fareSystem | Verkehrsverbund Berlin-Brandenburg ⓘ |
| hasFunction |
major maintenance facility
ⓘ
major storage facility ⓘ |
| languageOfSignage | German ⓘ |
| locatedIn |
Berlin
ⓘ
Germany ⓘ Lichtenberg ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| network | Berlin public transport network ⓘ |
| operator | Berliner Verkehrsbetriebe ⓘ |
| partOf |
Berlin tram network
ⓘ
linked to:
Berlin tram
|
| servesCity | Berlin ⓘ |
| servesRegion | Berlin metropolitan area ⓘ |
| shortName | BVG ⓘ |
| transportModeServed | tram ⓘ |
| usedFor |
tram maintenance
ⓘ
tram operations support ⓘ tram storage ⓘ |
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: Lichtenberg tram depot Description of subject: Lichtenberg tram depot is a major maintenance and storage facility for Berlin’s tram network located in the Lichtenberg district of the city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.