Shilong Road depot
E807557
Shilong Road depot is a maintenance and storage facility serving trains on Shanghai Metro Line 3.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Shilong Road depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9547228 — 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: Shilong Road depot Context triple: [Shanghai Metro Line 3, depot, Shilong Road depot]
-
A.
Meilong Depot
Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
-
B.
Dahua Road depot
Dahua Road depot is a maintenance and storage facility serving Shanghai Metro’s Line 7.
-
C.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
D.
Tuqiao Depot
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
E.
Daliao Depot
Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
- 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: Shilong Road depot Target entity description: Shilong Road depot is a maintenance and storage facility serving trains on Shanghai Metro Line 3.
-
A.
Meilong Depot
Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
-
B.
Dahua Road depot
Dahua Road depot is a maintenance and storage facility serving Shanghai Metro’s Line 7.
-
C.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
D.
Tuqiao Depot
Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
-
E.
Daliao Depot
Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
rail yard ⓘ railway depot ⓘ railway maintenance facility ⓘ |
| associatedWithStation | Shilong Road station NERFINISHED ⓘ |
| hasAccessTo | Shanghai Metro Line 3 tracks NERFINISHED ⓘ |
| hasFunction |
train maintenance
ⓘ
train storage ⓘ |
| hasPrimaryRole | operations support for Shanghai Metro Line 3 ⓘ |
| locatedInCity | Shanghai NERFINISHED ⓘ |
| locatedInCountry | China ⓘ |
| locatedInSystem | Shanghai Metro NERFINISHED ⓘ |
| ownedBy | Shanghai Metro operator ⓘ |
| partOfNetwork | Shanghai Metro network NERFINISHED ⓘ |
| servesLine | Shanghai Metro Line 3 NERFINISHED ⓘ |
| servesRollingStockType | Shanghai Metro Line 3 rolling stock NERFINISHED ⓘ |
| supportsActivity |
overnight train stabling
ⓘ
train cleaning ⓘ train dispatching preparation ⓘ train inspection ⓘ train repair ⓘ |
| usedFor |
heavy maintenance of metro trains
ⓘ
inspection of metro trains ⓘ light maintenance of metro trains ⓘ stabling 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: Shilong Road depot Description of subject: Shilong Road depot is a maintenance and storage facility serving trains on Shanghai Metro Line 3.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.