Line 13
E455222
Line 13 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Line 13 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4542001 — 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: Line 13 Context triple: [Shenzhen Metro, hasLine, Line 13]
-
A.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
-
B.
Line 13
Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
-
C.
Line 13
Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
-
D.
Line 14
Line 14 is a rapid transit line of the Shanghai Metro system that serves as one of the city's major east–west corridors.
-
E.
Line 14
Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
- 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: Line 13 Target entity description: Line 13 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
A.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
-
B.
Line 13
Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
-
C.
Line 13
Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
-
D.
Line 14
Line 14 is a rapid transit line of the Shanghai Metro system that serves as one of the city's major east–west corridors.
-
E.
Line 14
Line 14 is a fully automated, high-capacity line of the Paris Métro known for its modern trains and role in relieving congestion on central routes.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
metro line
ⓘ
rapid transit line ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| electrification | third rail ⓘ |
| fareSystem | Shenzhen Metro fare system ⓘ |
| hasLanguage | Chinese ⓘ |
| hasRouteNumber | 13 ⓘ |
| isNumberedLine | true ⓘ |
| isPartOfNetwork |
Shenzhen urban rail transit network
ⓘ
linked to:
Shenzhen Metro
|
| locatedIn |
China
ⓘ
Guangdong ⓘ
linked to:
Guangdong Province
Shenzhen ⓘ
linked to:
Shenzhen, China
|
| numberOfTracks | 2 ⓘ |
| operator | Shenzhen Metro Group ⓘ |
| owner |
Shenzhen Municipal Government
ⓘ
linked to:
Shenzhen Municipal People’s Government
|
| partOf | Shenzhen Metro ⓘ |
| planned | true ⓘ |
| primaryUse | passenger transport ⓘ |
| publicTransport | true ⓘ |
| railwaySignalling | automatic train control ⓘ |
| safetySystem | platform screen doors ⓘ |
| serves | urban areas of Shenzhen ⓘ |
| system | Shenzhen Metro ⓘ |
| trackGauge | standard gauge ⓘ |
| transitType | rapid transit ⓘ |
| transportMode | rail ⓘ |
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: Line 13 Description of subject: Line 13 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.