Schwabniederhofen
E837410
Schwabniederhofen is a small municipality located in the Weilheim-Schongau district of Bavaria in southern Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Schwabniederhofen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9208394 — 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: Schwabniederhofen Context triple: [District of Weilheim-Schongau, containsMunicipality, Schwabniederhofen]
-
A.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
B.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
C.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
D.
Weipertshausen
Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, Germany.
-
E.
Niedersaulheim
Niedersaulheim is a village in the German state of Rhineland-Palatinate, historically notable as the birthplace of American timber magnate Frederick Weyerhaeuser.
- 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: Schwabniederhofen Target entity description: Schwabniederhofen is a small municipality located in the Weilheim-Schongau district of Bavaria in southern Germany.
-
A.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
B.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
C.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
D.
Weipertshausen
Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, Germany.
-
E.
Niedersaulheim
Niedersaulheim is a village in the German state of Rhineland-Palatinate, historically notable as the birthplace of American timber magnate Frederick Weyerhaeuser.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| country | Germany ⓘ |
| hasAdministrativeDivisionLevel | municipality level ⓘ |
| hasOfficialLanguage | German ⓘ |
| hasTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| isInCountry | Germany ⓘ |
| isInDistrict | Weilheim-Schongau ⓘ |
| isInPartOfCountry | southern Germany ⓘ |
| isInRegion | Upper Bavaria ⓘ |
| isInState | Bavaria ⓘ |
| locatedIn |
Bavaria
ⓘ
Upper Bavaria ⓘ Weilheim-Schongau district ⓘ
linked to:
District of Weilheim-Schongau
southern Germany ⓘ |
| locatedOnContinent | Europe ⓘ |
| partOf |
Bavaria
ⓘ
Federal Republic of Germany ⓘ
linked to:
Germany
Weilheim-Schongau district ⓘ
linked to:
District of Weilheim-Schongau
|
| usesDaylightSavingTime | true ⓘ |
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: Schwabniederhofen Description of subject: Schwabniederhofen is a small municipality located in the Weilheim-Schongau district of Bavaria in southern Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.