Dianshanhu Avenue
E915070
Dianshanhu Avenue is a metro station on Shanghai’s Line 17 serving the western suburban area near Dianshan Lake.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dianshanhu Avenue canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11266921 — 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: Dianshanhu Avenue Context triple: [Shanghai Metro Line 17, hasStation, Dianshanhu Avenue]
-
A.
Tianhe Road
Tianhe Road is a major commercial and traffic artery in Guangzhou’s Tianhe District, lined with shopping centers, offices, and urban amenities.
-
B.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
-
C.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
D.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
E.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District 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: Dianshanhu Avenue Target entity description: Dianshanhu Avenue is a metro station on Shanghai’s Line 17 serving the western suburban area near Dianshan Lake.
-
A.
Tianhe Road
Tianhe Road is a major commercial and traffic artery in Guangzhou’s Tianhe District, lined with shopping centers, offices, and urban amenities.
-
B.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
-
C.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
D.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
E.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
Shanghai Metro station
ⓘ
railway station ⓘ |
| country | China ⓘ |
| electrification | third rail ⓘ |
| fareSystem | Shanghai Metro unified fare system ⓘ |
| hasAccessibilityFeature |
elevators
ⓘ
escalators ⓘ tactile paving ⓘ |
| hasFacility |
automatic ticket machines
ⓘ
customer service center ⓘ restrooms ⓘ |
| hasLanguageOnSignage |
Chinese
ⓘ
English ⓘ |
| hasPlatformType | island platform ⓘ |
| hasSafetyFeature | platform screen doors ⓘ |
| hasTicketing | automatic fare collection system ⓘ |
| hasTransportMode | rapid transit ⓘ |
| lineColor | purple (Line 17 color) ⓘ |
| locatedIn |
China
ⓘ
Qingpu District ⓘ Shanghai ⓘ western suburbs of Shanghai ⓘ |
| locatedNear | Dianshan Lake ⓘ |
| operator | Shanghai Metro ⓘ |
| owner |
Shanghai municipal government
ⓘ
linked to:
Shanghai Municipal People’s Government
|
| partOfLine | Shanghai Metro Line 17 ⓘ |
| publicTransportSystem | Shanghai Metro ⓘ |
| railNetwork | Shanghai Metro ⓘ |
| serves |
area near Dianshan Lake
ⓘ
western suburban area of Shanghai ⓘ |
| structureType | elevated 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: Dianshanhu Avenue Description of subject: Dianshanhu Avenue is a metro station on Shanghai’s Line 17 serving the western suburban area near Dianshan Lake.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.