Hagenholz depot
E557740
Hagenholz depot is a major maintenance and storage facility for trolleybuses serving the Zürich public transport network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hagenholz depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5958785 — 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: Hagenholz depot Context triple: [Zürich trolleybus network, hasDepot, Hagenholz depot]
-
A.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
-
B.
Holtet depot
Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
-
C.
Elfenau depot
Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
-
D.
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.
-
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: Hagenholz depot Target entity description: Hagenholz depot is a major maintenance and storage facility for trolleybuses serving the Zürich public transport network.
-
A.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
-
B.
Holtet depot
Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
-
C.
Elfenau depot
Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
-
D.
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.
-
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 (27)
| Predicate | Object |
|---|---|
| instanceOf |
public transport facility
ⓘ
trolleybus depot ⓘ |
| category |
Bus garages
ⓘ
Transport infrastructure in Zürich ⓘ Trolleybus depots ⓘ |
| country | Switzerland ⓘ |
| hasFacilityType |
maintenance workshops
ⓘ
vehicle storage halls ⓘ |
| hasLanguageOfSignage | German ⓘ |
| isPartOf |
Zürich public transport infrastructure
ⓘ
linked to:
Zürich public transport network
|
| locatedIn |
Switzerland
ⓘ
Zürich ⓘ
linked to:
Zurich
canton of Zürich ⓘ
linked to:
Canton of Zürich
|
| locatedInContinent | Europe ⓘ |
| locatedInNeighbourhood | Hagenholz ⓘ |
| networkServed |
Zürich public transport network
ⓘ
Zürich trolleybus network ⓘ |
| operator | Verkehrsbetriebe Zürich ⓘ |
| ownedBy |
City of Zürich
ⓘ
linked to:
Zurich
|
| primaryFunction |
trolleybus maintenance
ⓘ
trolleybus storage ⓘ |
| servesCity |
Zürich
ⓘ
linked to:
Zurich
|
| shortName | VBZ ⓘ |
| transportModeServed | trolleybus ⓘ |
| usedBy |
Verkehrsbetriebe Zürich trolleybus fleet
ⓘ
linked to:
Zürich trolleybus network
|
| usedFor |
parking trolleybuses when not in service
ⓘ
servicing trolleybuses ⓘ |
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: Hagenholz depot Description of subject: Hagenholz depot is a major maintenance and storage facility for trolleybuses serving the Zürich public transport network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.