Elfenau depot
E452071
Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Elfenau depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4548925 — 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: Elfenau depot Context triple: [Bern tram network, hasDepot, Elfenau depot]
-
A.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
-
B.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Britz-Süd depot
Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
-
E.
Flöha station
Flöha station is a regional railway station in the town of Flöha in Saxony, Germany, serving as a local transport hub on routes connecting to the nearby city of Chemnitz.
- 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: Elfenau depot Target entity description: Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
-
A.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
-
B.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Britz-Süd depot
Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
-
E.
Flöha station
Flöha station is a regional railway station in the town of Flöha in Saxony, Germany, serving as a local transport hub on routes connecting to the nearby city of Chemnitz.
- F. None of above. chosen
Statements (17)
| Predicate | Object |
|---|---|
| instanceOf |
tram depot
ⓘ
transport infrastructure ⓘ |
| country | Switzerland ⓘ |
| hasFunction |
tram maintenance
ⓘ
tram operations support ⓘ tram stabling ⓘ |
| locatedIn |
Bern
ⓘ
Canton of Bern ⓘ
linked to:
canton of Bern
Elfenau, Bern ⓘ |
| locatedInContinent | Europe ⓘ |
| ownedBy |
Bern public transport operator (Bernmobil)
ⓘ
linked to:
Bern public transport network
|
| partOf | Bern tram network ⓘ |
| serves | public transport in Bern ⓘ |
| transportMode | tram ⓘ |
| usedFor |
dispatching tram vehicles
ⓘ
housing tram vehicles ⓘ maintaining tram vehicles ⓘ |
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: Elfenau depot Description of subject: Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.