Trångsund
E140243
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Trångsund canonical | 2 |
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
residential area
ⓘ
suburban district ⓘ |
| belongsTo |
Stockholm–Mälaren region
ⓘ
surface form:
Greater Stockholm
|
| climate | humid continental climate ⓘ |
| continent | Europe ⓘ |
| country | Sweden ⓘ |
| countrySubdivision | Svealand ⓘ |
| governingBody |
Huddinge Municipality
ⓘ
surface form:
Huddinge Municipal Council
|
| hasCharacteristic |
proximity to lakes
ⓘ
proximity to nature ⓘ residential character ⓘ suburban character ⓘ |
| hasLandUse |
green areas
ⓘ
recreational areas ⓘ residential housing ⓘ |
| hasNearbyWaterBody |
Drevviken Lake
ⓘ
surface form:
Lake Drevviken
Lake Magelungen ⓘ |
| hasTransportConnection | Trångsund railway station ⓘ |
| languageUsed | Swedish ⓘ |
| locatedIn |
Stockholm
ⓘ
surface form:
Stockholm urban area
eastern Sweden ⓘ southern part of the Stockholm urban area ⓘ |
| locatedInAdministrativeEntity |
Huddinge Municipality
ⓘ
Stockholm County ⓘ |
| partOf |
Stockholm–Uppsala region
ⓘ
surface form:
Stockholm metropolitan area
|
| postalCodeRegion | Swedish postal code system ⓘ |
| publicTransport |
SL buses
ⓘ
surface form:
SL bus network
Stockholm commuter rail ⓘ |
| railwayLine | Nynäs Line ⓘ |
| roadConnection | local roads to central Stockholm ⓘ |
| timeZone | Central European Time ⓘ |
| timeZoneDST | Central European Summer Time ⓘ |
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: Trångsund Description of subject: Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.