Line 49
E470981
Line 49 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Line 49 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4542031 — 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 49 Context triple: [Shenzhen Metro, hasLine, Line 49]
-
A.
Line 48
Line 48 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 45
Line 45 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
C.
Line 50
Line 50 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 47
Line 47 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 46
Line 46 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, 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: Line 49 Target entity description: Line 49 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
A.
Line 48
Line 48 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 45
Line 45 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
C.
Line 50
Line 50 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 47
Line 47 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 46
Line 46 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
planned metro line
ⓘ
rapid transit line ⓘ |
| cityServed | Shenzhen NERFINISHED ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| electrification | electric railway ⓘ |
| hasNumber | 49 ⓘ |
| infrastructureType | metro line ⓘ |
| locatedIn |
China
ⓘ
Guangdong NERFINISHED ⓘ Shenzhen NERFINISHED ⓘ |
| locatedInMetropolitanArea | Shenzhen metropolitan area NERFINISHED ⓘ |
| modeOfTransport | rapid transit ⓘ |
| network | Shenzhen Metro network NERFINISHED ⓘ |
| operator | Shenzhen Metro Group NERFINISHED ⓘ |
| partOf | Shenzhen Metro NERFINISHED ⓘ |
| plannedFor | mass transit ⓘ |
| publicTransportType | urban rail transit ⓘ |
| railGauge | standard gauge ⓘ |
| regionServed | Pearl River Delta NERFINISHED ⓘ |
| serves | urban area of Shenzhen ⓘ |
| status | planned ⓘ |
| system | urban rapid transit system ⓘ |
| trackType | double track ⓘ |
| transportationSystem | Shenzhen Metro system NERFINISHED ⓘ |
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 49 Description of subject: Line 49 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.