Waldstetten (Günzburg)
E772656
Waldstetten (Günzburg) is a small municipality in the district of Günzburg in the Bavarian region of Swabia, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Waldstetten (Günzburg) canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T9010328 — 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: Waldstetten (Günzburg) Context triple: [Landkreis Günzburg, contains, Waldstetten (Günzburg)]
-
A.
Vaterstetten
Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
-
B.
Wolfratshausen
Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
-
C.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
-
D.
Stetten
Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
-
E.
Oberwallenstadt
Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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: Waldstetten (Günzburg) Target entity description: Waldstetten (Günzburg) is a small municipality in the district of Günzburg in the Bavarian region of Swabia, Germany.
-
A.
Vaterstetten
Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
-
B.
Wolfratshausen
Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
-
C.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
-
D.
Stetten
Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
-
E.
Oberwallenstadt
Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- F. None of above. chosen
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| continent | Europe ⓘ |
| country | Germany ⓘ |
| hasAdministrativeStatus | municipality in Bavaria ⓘ |
| hasCountry | Germany ⓘ |
| hasDistrict | Günzburg ⓘ |
| hasRegion | Swabia (Bavaria) ⓘ |
| isLocatedIn |
Bavarian Swabia
ⓘ
linked to:
Swabia (Bavaria)
|
| languageUsed | German ⓘ |
| locatedIn |
Bavaria
ⓘ
Swabia ⓘ
linked to:
Swabia (Bavaria)
district of Günzburg ⓘ southern Germany ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| partOf |
Federal Republic of Germany
ⓘ
linked to:
Germany
administrative region of Swabia ⓘ
linked to:
Regierungsbezirk Schwaben
district of Günzburg ⓘ federal state of Bavaria ⓘ
linked to:
Federal state of Bavaria
|
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: Waldstetten (Günzburg) Description of subject: Waldstetten (Günzburg) is a small municipality in the district of Günzburg in the Bavarian region of Swabia, Germany.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.