Nanpu station
E840229
Nanpu station is a metro station in Guangzhou, China, serving passengers on the city’s Line 2 rapid transit route.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nanpu station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9926487 — 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: Nanpu station Context triple: [Guangzhou Metro Line 2, connects, Nanpu station]
-
A.
Chunxi Road Station
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
-
B.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
C.
Xujiahui Station
Xujiahui Station is a major Shanghai Metro interchange and commercial hub serving the busy Xujiahui area in Shanghai, China.
-
D.
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.
-
E.
Wudaokou station
Wudaokou station is a busy Beijing Subway stop in the Haidian District, known for serving a major university and tech hub area popular with students and young professionals.
- 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: Nanpu station Target entity description: Nanpu station is a metro station in Guangzhou, China, serving passengers on the city’s Line 2 rapid transit route.
-
A.
Chunxi Road Station
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
-
B.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
C.
Xujiahui Station
Xujiahui Station is a major Shanghai Metro interchange and commercial hub serving the busy Xujiahui area in Shanghai, China.
-
D.
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.
-
E.
Wudaokou station
Wudaokou station is a busy Beijing Subway stop in the Haidian District, known for serving a major university and tech hub area popular with students and young professionals.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
metro station
ⓘ
railway station ⓘ |
| city | Guangzhou NERFINISHED ⓘ |
| country | China ⓘ |
| hasAccessibilityFeature |
elevators
ⓘ
escalators ⓘ tactile paving ⓘ |
| hasFareControl | gated ⓘ |
| hasFareSystem | Guangzhou Metro fare system ⓘ |
| hasLanguageOfSignage |
Chinese
ⓘ
English ⓘ |
| hasOperator | Guangzhou Metro NERFINISHED ⓘ |
| hasPlatformType | island platform ⓘ |
| hasSafetyFeature | platform screen doors ⓘ |
| hasService | passenger service ⓘ |
| hasStationType | subway station ⓘ |
| hasTicketing | automatic fare collection ⓘ |
| hasTicketType |
contactless smart card
ⓘ
single-journey ticket ⓘ |
| hasZoneSystem | flat fare system ⓘ |
| isPartOf | Line 2 of Guangzhou Metro NERFINISHED ⓘ |
| locatedIn |
China
ⓘ
Guangdong NERFINISHED ⓘ Guangzhou ⓘ |
| partOfNetwork | Guangzhou Metro NERFINISHED ⓘ |
| servesLine | Line 2 NERFINISHED ⓘ |
| servesTransportSystem | urban rail transit ⓘ |
| structureType | underground station ⓘ |
| transportMode | rapid transit ⓘ |
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: Nanpu station Description of subject: Nanpu station is a metro station in Guangzhou, China, serving passengers on the city’s Line 2 rapid transit route.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.