Schalkham
E807514
Schalkham is a small municipality in the Landshut district of Lower Bavaria, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Schalkham canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9540557 — 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: Schalkham Context triple: [Landshut (district), contains, Schalkham]
-
A.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
C.
Chamerbach
Chamerbach is a small river in central Switzerland that serves as one of the tributaries feeding into Lake Zug.
-
D.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
-
E.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
- 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: Schalkham Target entity description: Schalkham is a small municipality in the Landshut district of Lower Bavaria, Germany.
-
A.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
C.
Chamerbach
Chamerbach is a small river in central Switzerland that serves as one of the tributaries feeding into Lake Zug.
-
D.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
-
E.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
populated place ⓘ |
| administrativeRegion |
Landshut district
ⓘ
Lower Bavaria ⓘ |
| continent | Europe ⓘ |
| country | Germany ⓘ |
| federalState | Bavaria ⓘ |
| hasGovernmentForm | municipal government ⓘ |
| hasSubdivisionType | Ortsteil ⓘ |
| isInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| ISO3166-2Code | DE-BY ⓘ |
| languageUsed | German ⓘ |
| locatedIn |
Bavaria
ⓘ
Germany ⓘ Landshut district ⓘ Lower Bavaria ⓘ southern Germany ⓘ |
| partOf |
Bavaria
ⓘ
Federal Republic of Germany ⓘ
linked to:
Germany
Landshut district ⓘ Lower Bavaria ⓘ |
| usesCurrency | euro ⓘ |
| vehicleRegistrationCode | LA ⓘ |
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: Schalkham Description of subject: Schalkham is a small municipality in the Landshut district of Lower Bavaria, Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.