Zhuxinzhuang depot
E337411
Zhuxinzhuang depot is a facility on the Beijing Subway network used for the storage, maintenance, and dispatch of trains serving Line 8.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Zhuxinzhuang depot canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3227416 — 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: Zhuxinzhuang depot Context triple: [Line 8 (Beijing Subway), hasStation, Zhuxinzhuang depot]
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
B.
Sanyuanqiao depot
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
C.
Tuqiao Depot
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
D.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
E.
Jiahewanggang Depot
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
- 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: Zhuxinzhuang depot Target entity description: Zhuxinzhuang depot is a facility on the Beijing Subway network used for the storage, maintenance, and dispatch of trains serving Line 8.
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
B.
Sanyuanqiao depot
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
C.
Tuqiao Depot
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
D.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
E.
Jiahewanggang Depot
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
Beijing Subway depot
ⓘ
railway depot ⓘ transport infrastructure ⓘ |
| associatedStation | Zhuxinzhuang station ⓘ |
| category |
Beijing Subway depots
ⓘ
Rail yards in China ⓘ |
| cityServed | Beijing ⓘ |
| connectedTo |
Beijing Subway Line 8 tracks
ⓘ
linked to:
Line 8 (Beijing Subway)
|
| country | China ⓘ |
| electrification | third rail ⓘ |
| function |
train dispatch
ⓘ
train maintenance ⓘ train storage ⓘ |
| languageOfName | Chinese ⓘ |
| locatedIn |
Beijing
ⓘ
Changping District ⓘ |
| network | Beijing Subway ⓘ |
| operator | Beijing Mass Transit Railway Operation Corporation Limited ⓘ |
| owner | Beijing Municipal Government ⓘ |
| partOf | Beijing Subway infrastructure ⓘ |
| regionServed | Changping District ⓘ |
| servesLine |
Beijing Subway Line 8
ⓘ
linked to:
Line 8 (Beijing Subway)
|
| servesRollingStockType |
Beijing Subway Line 8 trains
ⓘ
linked to:
Line 8 (Beijing Subway)
|
| trackGauge | standard gauge ⓘ |
| usedBy | Beijing Mass Transit Railway Operation Corporation Limited ⓘ |
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: Zhuxinzhuang depot Description of subject: Zhuxinzhuang depot is a facility on the Beijing Subway network used for the storage, maintenance, and dispatch of trains serving Line 8.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Line 8