Line 27
E770426
Line 27 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Line 27 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8949112 — 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 27 Context triple: [Chongqing Metro, hasLine, Line 27]
-
A.
Line 27
Line 27 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
-
B.
Line 27
Line 27 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
C.
Line 28
Line 28 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
-
D.
Line 28
Line 28 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 23
Line 23 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 27 Target entity description: Line 27 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
-
A.
Line 27
Line 27 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 27
Line 27 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
-
C.
Line 28
Line 28 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
-
D.
Line 28
Line 28 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 23
Line 23 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf | rapid transit line ⓘ |
| cityServed | Chongqing ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| countryServed | China ⓘ |
| electrification | electric (likely, not confirmed) ⓘ |
| hasTrackGauge | standard gauge (likely, not confirmed) ⓘ |
| locatedIn |
China
ⓘ
Chongqing ⓘ Chongqing Municipality ⓘ
linked to:
Chongqing
|
| modeOfTransport | rapid transit ⓘ |
| operator |
Chongqing Rail Transit Corporation (planned)
ⓘ
linked to:
Chongqing Rail Transit Group
|
| partOf | Chongqing Metro ⓘ |
| planned | true ⓘ |
| publicTransportType | metro ⓘ |
| railwaySignalling | metro signalling (likely, not confirmed) ⓘ |
| regionServed | Chongqing ⓘ |
| status | planned ⓘ |
| system | Chongqing Metro ⓘ |
| transportNetwork | Chongqing 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: Line 27 Description of subject: Line 27 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.