Changchunjie station
E365152
Changchunjie station is an underground metro station on the Beijing Subway serving the Xicheng District of Beijing, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Changchunjie station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3161725 — 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: Changchunjie station Context triple: [Line 2 (Beijing Subway), hasStation, Changchunjie station]
-
A.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Lijiao Station
Lijiao Station is an interchange station on the Guangzhou Metro system in Guangzhou, China, serving as a local transit hub for passengers in its surrounding urban area.
-
C.
Songyuan Road Station
Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
-
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.
Jiahewanggang Station
Jiahewanggang Station is a major interchange station in Guangzhou, China, serving multiple lines of the Guangzhou Metro and connecting urban and suburban transit routes.
- 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: Changchunjie station Target entity description: Changchunjie station is an underground metro station on the Beijing Subway serving the Xicheng District of Beijing, China.
-
A.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Lijiao Station
Lijiao Station is an interchange station on the Guangzhou Metro system in Guangzhou, China, serving as a local transit hub for passengers in its surrounding urban area.
-
C.
Songyuan Road Station
Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
-
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.
Jiahewanggang Station
Jiahewanggang Station is a major interchange station in Guangzhou, China, serving multiple lines of the Guangzhou Metro and connecting urban and suburban transit routes.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Beijing Subway station
ⓘ
metro station ⓘ |
| country | China ⓘ |
| hasAccess |
pedestrian access
ⓘ
street level entrances ⓘ |
| hasEnvironment | underground ⓘ |
| hasFacility |
emergency exits
ⓘ
escalators ⓘ fire safety equipment ⓘ lighting ⓘ platform screen doors ⓘ signage ⓘ stairs ⓘ ticket hall ⓘ ventilation system ⓘ |
| hasLanguageOfSignage |
Chinese
ⓘ
English ⓘ |
| hasPlatformType | island platform ⓘ |
| hasStationType | metro ⓘ |
| isPartOf |
public transport network of Beijing
ⓘ
urban rail network ⓘ |
| locatedIn |
Beijing
ⓘ
Beijing Subway ⓘ
surface form:
Beijing Subway system
Xicheng District ⓘ urban area ⓘ |
| publicTransportType | rapid transit ⓘ |
| serves | Xicheng District ⓘ |
| servesFunction | passenger transport ⓘ |
| structureType | underground station ⓘ |
| transportationSystem | Beijing Subway ⓘ |
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: Changchunjie station Description of subject: Changchunjie station is an underground metro station on the Beijing Subway serving the Xicheng District of Beijing, China.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Line 2 (Beijing Subway)