Wenshui Road station
E720189
Wenshui Road station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wenshui Road station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8077591 — 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: Wenshui Road station Context triple: [Shanghai Metro Line 1, hasStation, Wenshui Road station]
-
A.
Zhichun Road station
Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
-
B.
Lianhua Road Station
Lianhua Road Station is a Shanghai Metro station serving the Minhang District as part of the city’s rapid transit network.
-
C.
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.
-
D.
Keyi Road station
Keyi Road station is a subway stop on Beijing's extensive metro network serving passengers in the city's urban area.
-
E.
Shuicheng Road Station
Shuicheng Road Station is a Shanghai Metro station serving the Changning District in Shanghai, 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: Wenshui Road station Target entity description: Wenshui Road station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
-
A.
Zhichun Road station
Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
-
B.
Lianhua Road Station
Lianhua Road Station is a Shanghai Metro station serving the Minhang District as part of the city’s rapid transit network.
-
C.
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.
-
D.
Keyi Road station
Keyi Road station is a subway stop on Beijing's extensive metro network serving passengers in the city's urban area.
-
E.
Shuicheng Road Station
Shuicheng Road Station is a Shanghai Metro station serving the Changning District in Shanghai, China.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
Shanghai Metro station
ⓘ
railway station ⓘ |
| country | China ⓘ |
| fareZone | Shanghai Metro standard urban zone ⓘ |
| hasAccessibilityFeature |
automatic fare collection gates
ⓘ
signage in Chinese and English ⓘ ticket vending machines ⓘ |
| hasLanguage |
Chinese
ⓘ
English ⓘ |
| hasStationCode | L01/?? ⓘ |
| hasTicketingSystem | Shanghai Public Transportation Card ⓘ |
| line |
Line 1 (Shanghai Metro)
ⓘ
linked to:
Shanghai Metro Line 1
|
| locatedIn |
Jing'an District
ⓘ
linked to:
Jing’an District
Shanghai ⓘ |
| locatedInContinent | Asia ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 1995 ⓘ |
| operator |
Shanghai No. 1 Metro Operation Co., Ltd.
ⓘ
linked to:
Shanghai No. 1 Metro Operation Co. Ltd.
|
| owner |
Shanghai Municipal Government
ⓘ
linked to:
Shanghai Municipal People’s Government
|
| partOf |
Shanghai Metro network
ⓘ
linked to:
Shanghai Metro
|
| partOfSystem |
Shanghai urban rail transit system
ⓘ
linked to:
Shanghai Metro
|
| platformType | island platform ⓘ |
| servedByTransportMode |
metro
ⓘ
rapid transit ⓘ |
| serves | Shanghai Metro ⓘ |
| 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: Wenshui Road station Description of subject: Wenshui Road station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.