Jiahewanggang Depot
E187940
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jiahewanggang Depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1650453 — 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: Jiahewanggang Depot Context triple: [Guangzhou Metro, hasDepot, Jiahewanggang Depot]
-
A.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
B.
Songjiazhuang station
Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
-
C.
Sihui station
Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
-
D.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
E.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail 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: Jiahewanggang Depot Target entity description: Jiahewanggang 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.
Songjiazhuang station
Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
-
C.
Sihui station
Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
-
D.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
E.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
operations and maintenance facility ⓘ |
| country | China ⓘ |
| function |
maintenance
ⓘ
operations ⓘ |
| hasRole | major operations base in Guangzhou Metro network ⓘ |
| locatedIn |
Guangdong Province
ⓘ
Guangzhou ⓘ People's Republic of China ⓘ
linked to:
China
|
| locatedInCity | Guangzhou ⓘ |
| locatedInCountry | China ⓘ |
| locatedOnContinent | Asia ⓘ |
| operator | Guangzhou Metro ⓘ |
| owner | Guangzhou Metro ⓘ |
| partOf | Guangzhou Metro infrastructure ⓘ |
| primaryUse |
inspection of metro trains
ⓘ
overhaul of metro trains ⓘ repair of metro trains ⓘ stabling of metro trains ⓘ |
| railwayTypeServed | rapid transit ⓘ |
| sector | public transport infrastructure ⓘ |
| servesNetwork | Guangzhou Metro ⓘ |
| servesSystemType | urban rail network ⓘ |
| transportModeServed |
metro
ⓘ
urban rail ⓘ |
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: Jiahewanggang Depot Description of subject: Jiahewanggang 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.