Wanshengwei Depot
E207071
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wanshengwei Depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1650454 — 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: Wanshengwei Depot Context triple: [Guangzhou Metro, hasDepot, Wanshengwei Depot]
-
A.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
B.
Jiahewanggang Depot
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
C.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
D.
Songjiazhuang station
Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
-
E.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
- 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: Wanshengwei Depot Target entity description: Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
A.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
B.
Jiahewanggang Depot
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
C.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
D.
Songjiazhuang station
Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
-
E.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
operations and maintenance facility ⓘ railway depot ⓘ |
| country | China ⓘ |
| hasOperator | Guangzhou Metro ⓘ |
| hasOwner |
Guangzhou Metro Group Co., Ltd.
ⓘ
linked to:
Guangzhou Metro Group
|
| isMajorFacilityFor |
Guangzhou Metro maintenance
ⓘ
Guangzhou Metro operations ⓘ |
| locatedIn |
Guangdong Province
ⓘ
Guangzhou ⓘ People's Republic of China ⓘ
linked to:
China
|
| locatedInContinent | Asia ⓘ |
| networkTypeServed | urban rail network ⓘ |
| partOf |
Guangzhou urban rail transit system
ⓘ
linked to:
Guangzhou Metro
|
| primaryFunction |
inspection and repair of metro vehicles
ⓘ
maintenance of rolling stock ⓘ operations support ⓘ stabling of trains ⓘ |
| servesCity | Guangzhou ⓘ |
| servesRegion | Pearl River Delta ⓘ |
| servesSystem | Guangzhou Metro ⓘ |
| transportModeServed |
metro
ⓘ
rapid transit ⓘ |
| usedFor |
cleaning of metro trains
ⓘ
heavy maintenance ⓘ light maintenance ⓘ storage 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: Wanshengwei Depot Description of subject: Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.