Wadern
E96280
Wadern is a small town in the Saarland region of western Germany, known for its rural character and location near the borders with Luxembourg and France.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wadern canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
town ⓘ |
| areaCode | 06871 ⓘ |
| country | Germany ⓘ |
| countrySubdivision |
Saarland
ⓘ
surface form:
state of Saarland
|
| distanceTo |
approximately 25 km east of Luxembourg border
ⓘ
approximately 35 km north of Saarbrücken ⓘ |
| elevation | approximately 300 metres ⓘ |
| governmentType | municipal council with mayor ⓘ |
| hasCityHall | Rathaus Wadern ⓘ |
| hasCoatOfArms | coat of arms of Wadern ⓘ |
| hasInstitution |
Leibniz Association
ⓘ
surface form:
Leibniz Center for Informatics Schloss Dagstuhl
|
| hasLandmark | Dagstuhl Castle ⓘ |
| hasPopulation | approximately 16,000 ⓘ |
| hasSubdivision |
Bardenbach
ⓘ
Dagstuhl ⓘ Lockweiler ⓘ Löstertal ⓘ Noswendel ⓘ Nunkirchen ⓘ Steinberg ⓘ Wadrill ⓘ Wedern ⓘ |
| hasTownRights | yes ⓘ |
| isPartOf |
Saarland
ⓘ
surface form:
Federal state of Saarland
|
| knownFor |
proximity to France
ⓘ
proximity to Luxembourg ⓘ rural character ⓘ |
| language | German ⓘ |
| localDialect |
Rhenish Franconian
ⓘ
surface form:
Moselle Franconian
|
| locatedIn |
Germany
ⓘ
surface form:
Federal Republic of Germany
Hunsrück ⓘ
surface form:
Hunsrück region
Merzig-Wadern district ⓘ Saar-Hunsrück Nature Park ⓘ Saarland ⓘ western Germany ⓘ |
| locatedNear |
border of France
ⓘ
border of Luxembourg ⓘ |
| locatedOn | river Wadrill ⓘ |
| mayor | Jochen Kuttler ⓘ |
| mayorParty |
Christian Democratic Union of Germany
ⓘ
surface form:
CDU
|
| officialWebsite | https://www.wadern.de ⓘ |
| postalCode | 66687 ⓘ |
| region | Saarland ⓘ |
| timeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| vehicleRegistrationCode | MZG ⓘ |
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: Wadern Description of subject: Wadern is a small town in the Saarland region of western Germany, known for its rural character and location near the borders with Luxembourg and France.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.