Tuqiao Depot
E332215
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tuqiao Depot canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3161849 — 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: Tuqiao Depot Context triple: [Batong Line, depot, Tuqiao Depot]
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network 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.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
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.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s 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: Tuqiao Depot Target entity description: Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network 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.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
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.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
maintenance facility
ⓘ
metro depot ⓘ railway depot ⓘ rolling stock depot ⓘ |
| associatedWithCity | Beijing ⓘ |
| country | China ⓘ |
| hasFunction |
heavy maintenance of trains
ⓘ
inspection of rolling stock ⓘ light maintenance of trains ⓘ overnight stabling ⓘ |
| locatedIn | Beijing ⓘ |
| locatedInCountry | China ⓘ |
| networkRole |
maintenance base
ⓘ
operations support facility ⓘ storage yard ⓘ |
| ownedBy |
Beijing Subway authorities
ⓘ
linked to:
Beijing Subway
|
| partOf |
Batong Line infrastructure
ⓘ
linked to:
Batong Line
|
| partOfSystem | Beijing Subway ⓘ |
| railwayType | rapid transit ⓘ |
| servesLine | Batong Line ⓘ |
| servesSystem | urban rail transit ⓘ |
| transportMode |
metro
ⓘ
rail ⓘ |
| usedBy | Batong Line trains ⓘ |
| usedFor |
stabling of metro trains
ⓘ
train maintenance ⓘ train storage ⓘ |
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: Tuqiao Depot Description of subject: Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.