Hard depot
E557739
Hard depot is a major trolleybus facility in Zürich used for housing, maintaining, and dispatching vehicles on the city’s trolleybus network.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Hard depot canonical | 1 |
| Hard tram depot | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5958784 — 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: Hard depot Context triple: [Zürich trolleybus network, hasDepot, Hard depot]
-
A.
Nopo Depot
Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
B.
The Big Store
The Big Store is a 1941 Marx Brothers comedy film featuring their trademark slapstick, wordplay, and musical numbers set in a chaotic department store.
-
C.
Bümpliz depot
Bümpliz depot is a tram facility in the Bümpliz district of Bern used for housing, maintaining, and dispatching vehicles of the city’s tram network.
-
D.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
-
E.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
- 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: Hard depot Target entity description: Hard depot is a major trolleybus facility in Zürich used for housing, maintaining, and dispatching vehicles on the city’s trolleybus network.
-
A.
Nopo Depot
Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
B.
The Big Store
The Big Store is a 1941 Marx Brothers comedy film featuring their trademark slapstick, wordplay, and musical numbers set in a chaotic department store.
-
C.
Bümpliz depot
Bümpliz depot is a tram facility in the Bümpliz district of Bern used for housing, maintaining, and dispatching vehicles of the city’s tram network.
-
D.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
-
E.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
public transport facility
ⓘ
trolleybus depot ⓘ |
| category |
Transport infrastructure in Zürich
ⓘ
Trolleybus depots ⓘ |
| cityServed |
Zürich
ⓘ
linked to:
Zurich
|
| hasFunction |
vehicle dispatch
ⓘ
vehicle maintenance ⓘ vehicle storage ⓘ |
| hasRole | operations base for trolleybus lines ⓘ |
| isMajorFacilityFor | Zürich trolleybus network ⓘ |
| locatedIn |
Zürich
ⓘ
linked to:
Zurich
|
| locatedInCountry | Switzerland ⓘ |
| operatedFor | urban public transport ⓘ |
| partOf | Zürich public transport infrastructure ⓘ |
| servesNetwork | Zürich trolleybus network ⓘ |
| servesVehicleType | electric trolleybuses ⓘ |
| transportMode | trolleybus ⓘ |
| usedFor |
dispatching trolleybuses
ⓘ
housing trolleybuses ⓘ maintaining 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: Hard depot Description of subject: Hard depot is a major trolleybus facility in Zürich used for housing, maintaining, and dispatching vehicles on the city’s trolleybus network.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Hard depot