Vennes depot
E608299
Vennes depot is a maintenance and storage facility serving Lausanne’s metro system in Switzerland.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vennes depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6639776 — 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: Vennes depot Context triple: [Lausanne Métro, hasDepot, Vennes depot]
-
A.
Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
D.
Bachet depot
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
-
E.
Elliniko depot
Elliniko depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
- 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: Vennes depot Target entity description: Vennes depot is a maintenance and storage facility serving Lausanne’s metro system in Switzerland.
-
A.
Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
D.
Bachet depot
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
-
E.
Elliniko depot
Elliniko depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
railway depot ⓘ |
| country | Switzerland ⓘ |
| hasAccessRestriction | not open to the general public ⓘ |
| hasElectrification | electric traction supply for metro trains ⓘ |
| hasInfrastructureType | rail infrastructure facility ⓘ |
| hasLanguageOfLocation | French ⓘ |
| hasOwner | Lausanne metro operator ⓘ |
| hasPurpose | support operation of Lausanne metro lines ⓘ |
| hasTrackGauge | standard gauge ⓘ |
| locatedInCanton | Canton of Vaud ⓘ |
| locatedInCity | Lausanne ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInCountryCapitalOfCanton | Lausanne ⓘ |
| locatedInRegion | Romandy ⓘ |
| partOfNetwork | public transport network of Lausanne ⓘ |
| primaryFunction |
maintenance facility
ⓘ
rolling stock storage ⓘ |
| servesModeOfTransport | metro ⓘ |
| servesRollingStockType | electric multiple units ⓘ |
| servesTransportSystem |
Lausanne Metro
ⓘ
linked to:
Lausanne Métro
|
| supportsActivity |
cleaning of metro trains
ⓘ
heavy maintenance of rolling stock ⓘ light maintenance of rolling stock ⓘ |
| usedFor |
inspection of metro trains
ⓘ
overnight stabling of metro trains ⓘ repair of metro trains ⓘ |
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: Vennes depot Description of subject: Vennes depot is a maintenance and storage facility serving Lausanne’s metro system in Switzerland.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.