Beixinjing Station
E282806
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Beixinjing Station canonical | 1 |
| Jinjiang Park station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2383249 — 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: Beixinjing Station Context triple: [Changning District, hasMetroStation, Beixinjing Station]
-
A.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
B.
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.
-
C.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
D.
Jianchuan Road Station
Jianchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
-
E.
Loushanguan Road Station
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of 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: Beixinjing Station Target entity description: Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
A.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
B.
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.
-
C.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
D.
Jianchuan Road Station
Jianchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
-
E.
Loushanguan Road Station
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Shanghai Metro station
ⓘ
rapid transit station ⓘ |
| country | China ⓘ |
| fareZone | Shanghai Metro urban zone ⓘ |
| hasAccessibility | accessible to disabled passengers ⓘ |
| hasConnection | local bus services ⓘ |
| hasFareSystem | Shanghai Metro unified fare system ⓘ |
| hasLanguage | Chinese ⓘ |
| hasSignageLanguage |
Chinese
ⓘ
English ⓘ |
| hasTicketing |
automatic fare collection system
ⓘ
contactless smart card payment ⓘ |
| locatedIn |
Changning District
ⓘ
People's Republic of China ⓘ
linked to:
China
Shanghai ⓘ |
| locatedInTimeZone | China Standard Time ⓘ |
| locatedOnContinent | Asia ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 2006 ⓘ |
| operator | Shanghai No. 2 Metro Operation Co. Ltd. ⓘ |
| ownedBy | Shanghai Metro ⓘ |
| partOfLine | Shanghai Metro Line 2 ⓘ |
| partOfNetwork |
Shanghai Metro network
ⓘ
linked to:
Shanghai Metro
|
| platformType | island platform ⓘ |
| serves | Beixinjing area ⓘ |
| servesCity | Shanghai ⓘ |
| servesModeOfTransport | metro ⓘ |
| structureType | underground station ⓘ |
| utcOffset | +08:00 ⓘ |
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: Beixinjing Station Description of subject: Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Beixinjing Station