Line L30
E500445
Line L30 is a light rail route of Stockholm’s Tvärbanan system that serves as one of the cross-city tram lines connecting suburbs around the Swedish capital.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T5176639 — 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.
Target entity: Line L30 Context triple: [Tvärbanan, hasLine, Line L30]
-
A.
Line 30
Line 30 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
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B.
Line 31
Line 31 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
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C.
Line 29
Line 29 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
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D.
Line 34
Line 34 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
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E.
Line 36
Line 36 is a planned or operational rapid transit line within 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.
Target entity: Line L30 Target entity description: Line L30 is a light rail route of Stockholm’s Tvärbanan system that serves as one of the cross-city tram lines connecting suburbs around the Swedish capital.
-
A.
Line 30
Line 30 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 31
Line 31 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
C.
Line 29
Line 29 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 34
Line 34 is a planned rapid transit line in the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 36
Line 36 is a planned or operational rapid transit line within the Shenzhen Metro system in Shenzhen, China.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
light rail line
ⓘ
tram route ⓘ |
| belongsToCategory |
Light rail in Sweden
ⓘ
Tram lines in Stockholm ⓘ |
| connects | suburbs around Stockholm ⓘ |
| country | Sweden ⓘ |
| electrification | overhead line ⓘ |
| fareSystem | SL fare system ⓘ |
| locatedIn |
Stockholm
NERFINISHED
ⓘ
Sweden ⓘ |
| mode | rail ⓘ |
| networkRole |
cross-city line
ⓘ
orbital line ⓘ |
| operator | Storstockholms Lokaltrafik NERFINISHED ⓘ |
| operatorAbbreviation | SL ⓘ |
| partOf | Tvärbanan NERFINISHED ⓘ |
| publicTransportZoneAuthority | Region Stockholm NERFINISHED ⓘ |
| serves | Stockholm suburbs ⓘ |
| serviceArea | Greater Stockholm NERFINISHED ⓘ |
| servicePattern | frequent service ⓘ |
| system | Tvärbanan NERFINISHED ⓘ |
| trackGauge | standard gauge ⓘ |
| transportType |
light rail
ⓘ
tram ⓘ |
| usesRollingStockType | low-floor tram ⓘ |
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.
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.
Subject: Line L30 Description of subject: Line L30 is a light rail route of Stockholm’s Tvärbanan system that serves as one of the cross-city tram lines connecting suburbs around the Swedish capital.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.