Line 22
E453365
Line 22 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Line 22 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4542006 — 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 22 Context triple: [Shenzhen Metro, hasLine, Line 22]
-
A.
Line 21
Line 21 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 21
Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
-
C.
Line 20
Line 20 is a driverless rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 19
Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
-
E.
Line 19
Line 19 is a planned rapid transit line of the Shanghai Metro network intended to serve additional urban and suburban areas of 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 22 Target entity description: Line 22 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
A.
Line 21
Line 21 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 21
Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
-
C.
Line 20
Line 20 is a driverless rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 19
Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
-
E.
Line 19
Line 19 is a planned rapid transit line of the Shanghai Metro network intended to serve additional urban and suburban areas of the city.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
metro line
ⓘ
rapid transit line ⓘ |
| cityServed |
Shenzhen
ⓘ
linked to:
Shenzhen, China
|
| continent | Asia ⓘ |
| country | China ⓘ |
| electrification |
electric multiple units
ⓘ
overhead line ⓘ |
| fareSystem | Shenzhen Metro fare system ⓘ |
| hasRollingStockType | metro trains ⓘ |
| isInPlanningStage | yes ⓘ |
| languageOfSignage |
Chinese
ⓘ
English ⓘ |
| locatedIn |
China
ⓘ
Guangdong ⓘ
linked to:
Guangdong Province
Shenzhen ⓘ
linked to:
Shenzhen, China
|
| network | Shenzhen Metro network ⓘ |
| operator | Shenzhen Metro Group ⓘ |
| owner |
Shenzhen municipal government
ⓘ
linked to:
Shenzhen Municipal People’s Government
|
| partOf | Shenzhen Metro ⓘ |
| publicTransport | yes ⓘ |
| regionServed | Pearl River Delta ⓘ |
| system |
Shenzhen Metro system
ⓘ
linked to:
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 22 Description of subject: Line 22 is a 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.