Wuhan Metro Line 35
E164665
Wuhan Metro Line 35 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wuhan Metro Line 35 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1120460 — 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: Wuhan Metro Line 35 Context triple: [Wuhan Metro, hasLine, Wuhan Metro Line 35]
-
A.
Wuhan Metro Line 33
Wuhan Metro Line 33 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
B.
Wuhan Metro Line 34
Wuhan Metro Line 34 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
C.
Wuhan Metro Line 31
Wuhan Metro Line 31 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
D.
Wuhan Metro Line 30
Wuhan Metro Line 30 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
E.
Wuhan Metro Line 32
Wuhan Metro Line 32 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, 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: Wuhan Metro Line 35 Target entity description: Wuhan Metro Line 35 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
A.
Wuhan Metro Line 33
Wuhan Metro Line 33 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
B.
Wuhan Metro Line 34
Wuhan Metro Line 34 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
C.
Wuhan Metro Line 31
Wuhan Metro Line 31 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
D.
Wuhan Metro Line 30
Wuhan Metro Line 30 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
E.
Wuhan Metro Line 32
Wuhan Metro Line 32 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
planned metro line
ⓘ
public transport infrastructure project ⓘ rapid transit line ⓘ |
| cityServed | Wuhan ⓘ |
| country | China ⓘ |
| locatedIn |
China
ⓘ
Hubei Province ⓘ Wuhan ⓘ |
| networkRole | urban rail transit line ⓘ |
| operator |
Wuhan Metro Group Co., Ltd. (expected)
ⓘ
surface form:
Wuhan Metro Group Co., Ltd.
|
| partOf | Wuhan Metro ⓘ |
| purpose |
expand urban rail connectivity in Wuhan
ⓘ
improve urban rail connectivity in Wuhan ⓘ |
| status | planned ⓘ |
| system | Wuhan Metro ⓘ |
| 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: Wuhan Metro Line 35 Description of subject: Wuhan Metro Line 35 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.