Kleinmünster
E898331
Kleinmünster is a small locality in the Haßberge district of northern Bavaria, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kleinmünster canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10988135 — 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: Kleinmünster Context triple: [Haßberge (district), contains, Kleinmünster]
-
A.
Heilig-Kreuz-Münster
Heilig-Kreuz-Münster is a prominent historic Catholic church and architectural landmark in the town of Schwäbisch Gmünd in southern Germany.
-
B.
Bergkirche
Bergkirche is a historic Baroque pilgrimage church in Eisenstadt, Austria, best known for its association with composer Joseph Haydn and its distinctive hilltop setting.
-
C.
Marienmünster Dießen
Marienmünster Dießen is a historic former monastery church and prominent Catholic pilgrimage site in the Bavarian town of Dießen am Ammersee.
-
D.
Tannenkirch
Tannenkirch is a village in the Black Forest region of southwestern Germany that forms one of the districts of the town of Kandern in Baden-Württemberg.
-
E.
Altenmünster
Altenmünster is a municipality in the Swabian region of Bavaria, Germany, known for its rural character and location within the Augsburg district.
- 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: Kleinmünster Target entity description: Kleinmünster is a small locality in the Haßberge district of northern Bavaria, Germany.
-
A.
Heilig-Kreuz-Münster
Heilig-Kreuz-Münster is a prominent historic Catholic church and architectural landmark in the town of Schwäbisch Gmünd in southern Germany.
-
B.
Bergkirche
Bergkirche is a historic Baroque pilgrimage church in Eisenstadt, Austria, best known for its association with composer Joseph Haydn and its distinctive hilltop setting.
-
C.
Marienmünster Dießen
Marienmünster Dießen is a historic former monastery church and prominent Catholic pilgrimage site in the Bavarian town of Dießen am Ammersee.
-
D.
Tannenkirch
Tannenkirch is a village in the Black Forest region of southwestern Germany that forms one of the districts of the town of Kandern in Baden-Württemberg.
-
E.
Altenmünster
Altenmünster is a municipality in the Swabian region of Bavaria, Germany, known for its rural character and location within the Augsburg district.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
locality
ⓘ
village ⓘ |
| continent | Europe ⓘ |
| country | Germany ⓘ |
| hasFeature | small settlement size ⓘ |
| hasNameInLanguage | Kleinmünster (German) ⓘ |
| hasRegion | Franconia ⓘ |
| languageUsed | German ⓘ |
| locatedIn |
Bavaria
ⓘ
Haßberge district ⓘ northern Bavaria ⓘ |
| locatedInAdministrativeTerritory |
Free State of Bavaria
ⓘ
linked to:
Bavaria
|
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| partOf |
Bavaria
ⓘ
Haßberge district ⓘ |
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: Kleinmünster Description of subject: Kleinmünster is a small locality in the Haßberge district of northern Bavaria, Germany.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.