Lancun Road
E845229
Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lancun Road canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10082251 — 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: Lancun Road Context triple: [Shanghai Metro Line 4, connectsStation, Lancun Road]
-
A.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
B.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
-
C.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
D.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
E.
Changshou Road
Changshou Road is a major thoroughfare in Shanghai, China, known for its dense commercial activity and urban residential neighborhoods within the central 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: Lancun Road Target entity description: Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
-
A.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
B.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
-
C.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
D.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
E.
Changshou Road
Changshou Road is a major thoroughfare in Shanghai, China, known for its dense commercial activity and urban residential neighborhoods within the central city.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
Shanghai Metro station
ⓘ
interchange station ⓘ |
| city | Shanghai ⓘ |
| country | China ⓘ |
| countrySubdivision |
Shanghai Municipality
ⓘ
linked to:
Shanghai
|
| district | Pudong New Area ⓘ |
| fareSystem | Shanghai Public Transport Card compatible ⓘ |
| fareZone | Shanghai Metro standard urban zone ⓘ |
| hasAccessibility | accessible for disabled passengers ⓘ |
| hasInterchange | Line 4–Line 6 interchange ⓘ |
| hasLanguageOfSignage |
Chinese
ⓘ
English ⓘ |
| hasPlatformConfiguration | island platforms ⓘ |
| hasStationType | rapid transit station ⓘ |
| hasTicketing |
automatic fare gates
ⓘ
automatic ticket vending machines ⓘ |
| hasTracks | 4 ⓘ |
| locatedIn |
Pudong New Area
ⓘ
Shanghai ⓘ Shanghai Metro system ⓘ
linked to:
Shanghai Metro
|
| operator |
Shanghai No. 3 Metro Operation Co. Ltd.
ⓘ
linked to:
Shanghai No. 3 Metro Operation Co., Ltd.
|
| owner |
Shanghai Municipal Government
ⓘ
linked to:
Shanghai Municipal People’s Government
|
| partOfNetwork | Shanghai Metro ⓘ |
| servedByLine |
Shanghai Metro Line 4
ⓘ
Shanghai Metro Line 6 ⓘ |
| 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: Lancun Road Description of subject: Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.