Songyuan Road Station
E280402
Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Songyuan Road Station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2383247 — 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: Songyuan Road Station Context triple: [Changning District, hasMetroStation, Songyuan Road Station]
-
A.
Yili Road Station
Yili Road Station is a Shanghai Metro station located in the city's Changning District, serving as part of the urban rapid transit network.
-
B.
Jianchuan Road Station
Jianchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
-
C.
Loushanguan Road Station
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
-
D.
Longyang Road station
Longyang Road station is a major Shanghai Metro interchange and transport hub known for connecting multiple metro lines with the Shanghai Maglev train to Pudong International Airport.
-
E.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
- 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: Songyuan Road Station Target entity description: Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
-
A.
Yili Road Station
Yili Road Station is a Shanghai Metro station located in the city's Changning District, serving as part of the urban rapid transit network.
-
B.
Jianchuan Road Station
Jianchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
-
C.
Loushanguan Road Station
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
-
D.
Longyang Road station
Longyang Road station is a major Shanghai Metro interchange and transport hub known for connecting multiple metro lines with the Shanghai Maglev train to Pudong International Airport.
-
E.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf | Shanghai Metro station ⓘ |
| country | China ⓘ |
| hasAccessibilityFeature |
escalators
ⓘ
lighting ⓘ stairs ⓘ |
| hasChineseName | 宋园路站 ⓘ |
| hasFareSystem | Shanghai Metro fare system ⓘ |
| hasLanguage |
Chinese
ⓘ
English ⓘ |
| hasPlatformType | island platform ⓘ |
| hasSecurity |
CCTV surveillance
ⓘ
security checks ⓘ |
| hasSignageLanguage |
Chinese
ⓘ
English ⓘ |
| hasTicketing |
automatic fare collection
ⓘ
contactless smart card ⓘ |
| locatedIn |
Changning District
ⓘ
China ⓘ
surface form:
People's Republic of China
Shanghai ⓘ |
| operator | Shanghai Metro ⓘ |
| owner |
Shanghai Municipal People’s Government
ⓘ
surface form:
Shanghai Municipal Government
|
| partOf | Shanghai Metro ⓘ |
| publicTransportMode | metro ⓘ |
| railNetwork |
Shanghai Metro
ⓘ
surface form:
Shanghai urban rail transit network
|
| servesDistrict | Changning District ⓘ |
| structureType | underground station ⓘ |
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: Songyuan Road Station Description of subject: Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.