Wuhan Metro Line 38
E170311
Wuhan Metro Line 38 is a planned rapid transit route within the Wuhan Metro system intended to expand urban rail coverage and connectivity in the city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wuhan Metro Line 38 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1120463 — 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 38 Context triple: [Wuhan Metro, hasLine, Wuhan Metro Line 38]
-
A.
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.
-
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 36
Wuhan Metro Line 36 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
D.
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.
-
E.
Wuhan Metro Line 37
Wuhan Metro Line 37 is a planned rapid transit line intended to expand and enhance the urban rail network in 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 38 Target entity description: Wuhan Metro Line 38 is a planned rapid transit route within the Wuhan Metro system intended to expand urban rail coverage and connectivity in the city.
-
A.
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.
-
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 36
Wuhan Metro Line 36 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
D.
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.
-
E.
Wuhan Metro Line 37
Wuhan Metro Line 37 is a planned rapid transit line intended to expand and enhance the urban rail network in Wuhan, China.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
planned metro line
ⓘ
rapid transit line ⓘ |
| country | China ⓘ |
| locatedIn |
China
ⓘ
Hubei Province ⓘ Wuhan ⓘ |
| modeOfTransport | rail ⓘ |
| operator |
Wuhan Metro Group Co., Ltd.
ⓘ
linked to:
Wuhan Metro Group Co., Ltd. (expected)
|
| partOf | Wuhan Metro ⓘ |
| purpose |
expand urban rail coverage in Wuhan
ⓘ
improve connectivity within Wuhan Metro network ⓘ |
| serviceType | rapid transit ⓘ |
| status | planned ⓘ |
| systemType | urban rail transit ⓘ |
| transportNetwork |
Wuhan Metro system
ⓘ
linked to:
Wuhan Metro
|
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 38 Description of subject: Wuhan Metro Line 38 is a planned rapid transit route within the Wuhan Metro system intended to expand urban rail coverage and connectivity in the city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.