Sanyuanqiao depot
E334624
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sanyuanqiao depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3161893 — 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: Sanyuanqiao depot Context triple: [Capital Airport Express, depot, Sanyuanqiao depot]
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
B.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
C.
Tuqiao Depot
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
D.
Jiahewanggang Depot
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
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: Sanyuanqiao depot Target entity description: Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
B.
Xilang Depot
Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
-
C.
Tuqiao Depot
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
D.
Jiahewanggang Depot
Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
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 (26)
| Predicate | Object |
|---|---|
| instanceOf |
railway depot
ⓘ
rolling stock maintenance facility ⓘ train storage facility ⓘ |
| associatedWithOperator | Beijing Subway operator of Capital Airport Express ⓘ |
| country | China ⓘ |
| electrificationSystemServed | overhead line ⓘ |
| locatedInCity | Beijing ⓘ |
| locatedInDistrict | Chaoyang District ⓘ |
| locatedInMetropolitanArea |
Beijing metropolitan area
ⓘ
linked to:
Beijing
|
| locatedNearStation | Sanyuanqiao station ⓘ |
| ownedBy |
Beijing municipal authorities
ⓘ
linked to:
Beijing Municipal Commission of Transport
|
| partOfNetwork |
Beijing rail transit network
ⓘ
linked to:
Beijing Subway
|
| primaryFunction |
maintenance of Capital Airport Express rolling stock
ⓘ
stabling of Capital Airport Express trains ⓘ |
| region | North China ⓘ |
| servesCorridor | Beijing Capital International Airport corridor ⓘ |
| servesLine | Capital Airport Express ⓘ |
| servesPurpose | support operation of airport rail link ⓘ |
| servesSystem | Beijing Subway ⓘ |
| supportsServiceType | airport express rail service ⓘ |
| trackGauge | standard gauge ⓘ |
| usedFor |
cleaning of trains
ⓘ
heavy maintenance ⓘ inspection of trains ⓘ light maintenance ⓘ overnight storage of 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: Sanyuanqiao depot Description of subject: Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.