Arnstorf
E925766
Arnstorf is a market town in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and regional commerce.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Arnstorf canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11222068 — 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: Arnstorf Context triple: [Rottal-Inn, contains, Arnstorf]
-
A.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
-
C.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
-
D.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
E.
Allendorf
Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, 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: Arnstorf Target entity description: Arnstorf is a market town in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and regional commerce.
-
A.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
-
C.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
-
D.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
E.
Allendorf
Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
market town
ⓘ
municipality ⓘ |
| administrativeRegion |
Bavaria
ⓘ
Lower Bavaria ⓘ Rottal-Inn ⓘ |
| country | Germany ⓘ |
| hasEconomyType |
regional trade
ⓘ
rural economy ⓘ |
| hasRuralCharacter | true ⓘ |
| hasSettlementType | market town ⓘ |
| isInContinent | Europe ⓘ |
| knownFor | regional commerce ⓘ |
| locatedIn |
Bavaria
ⓘ
District of Rottal-Inn ⓘ Lower Bavaria ⓘ Southeast Bavaria ⓘ
linked to:
Lower Bavaria
|
| locatedInRegion |
Southern Germany
ⓘ
linked to:
southern Germany
|
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| partOf |
Federal Republic of Germany
ⓘ
linked to:
Germany
Free State of Bavaria ⓘ
linked to:
Bavaria
Lower Bavaria ⓘ Rottal-Inn ⓘ |
| usesUTCOffset | +01:00 ⓘ |
| usesUTCOffsetDST | +02:00 ⓘ |
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: Arnstorf Description of subject: Arnstorf is a market town in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and regional commerce.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.