Hongshan Square Station
E563109
Hongshan Square Station is an underground metro station in Wuhan, China, serving the busy Hongshan Square area as part of the city's urban rail network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hongshan Square Station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T5945879 — 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: Hongshan Square Station Context triple: [Wuhan Metro Line 2, hasStation, Hongshan Square Station]
-
A.
Haizhu Square Station
Haizhu Square Station is a major underground metro station in central Guangzhou, China, serving as a key transit point near the Pearl River and the historic Haizhu Square area.
-
B.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
C.
Luohu station
Luohu station is a major Shenzhen Metro interchange and border-adjacent hub connecting central Shenzhen with Hong Kong via the Luohu/Lo Wu checkpoint.
-
D.
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.
-
E.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
- 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: Hongshan Square Station Target entity description: Hongshan Square Station is an underground metro station in Wuhan, China, serving the busy Hongshan Square area as part of the city's urban rail network.
-
A.
Haizhu Square Station
Haizhu Square Station is a major underground metro station in central Guangzhou, China, serving as a key transit point near the Pearl River and the historic Haizhu Square area.
-
B.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
C.
Luohu station
Luohu station is a major Shenzhen Metro interchange and border-adjacent hub connecting central Shenzhen with Hong Kong via the Luohu/Lo Wu checkpoint.
-
D.
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.
-
E.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf | metro station ⓘ |
| country | China ⓘ |
| hasAccessibilityFeature |
elevator
ⓘ
escalator ⓘ |
| hasFacility |
automatic fare collection gates
ⓘ
lighting system ⓘ public toilets ⓘ rest area ⓘ signage system ⓘ station concourse ⓘ ticket vending machine ⓘ |
| hasFeature |
fire safety system
ⓘ
underground platforms ⓘ ventilation system ⓘ |
| hasLanguage | Chinese ⓘ |
| hasPlatformType | island platform ⓘ |
| hasSignageLanguage |
English
ⓘ
Simplified Chinese ⓘ |
| isLocatedInUrbanArea | Hongshan District ⓘ |
| isPartOf | urban rail network of Wuhan ⓘ |
| locatedIn | Wuhan ⓘ |
| locatedInAdministrativeTerritory |
Hubei
ⓘ
linked to:
Hubei Province
|
| locatedInContinent | Asia ⓘ |
| partOf | Wuhan Metro ⓘ |
| publicTransportSystem | Wuhan Metro ⓘ |
| serves | Hongshan Square ⓘ |
| servesFunction |
public transit interchange
ⓘ
urban passenger transport ⓘ |
| structureType | underground ⓘ |
| transportMode | rapid transit ⓘ |
| usedFor |
commuter travel
ⓘ
local 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: Hongshan Square Station Description of subject: Hongshan Square Station is an underground metro station in Wuhan, China, serving the busy Hongshan Square area as part of the city's urban rail network.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.