Ruhmannsfelden
E896395
Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ruhmannsfelden canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9540668 — 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: Ruhmannsfelden Context triple: [Regen (district), contains, Ruhmannsfelden]
-
A.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
-
B.
Hasselfelde
Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
-
C.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
D.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
E.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
- 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: Ruhmannsfelden Target entity description: Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
-
A.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
-
B.
Hasselfelde
Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
-
C.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
D.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
E.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
market town
ⓘ
municipality ⓘ |
| areaCode | 09929 ⓘ |
| country | Germany ⓘ |
| district | Regen (district) ⓘ |
| elevationAboveSeaLevel | 536 m ⓘ |
| hasMayor | Andreas Furth ⓘ |
| hasMunicipalKey | 09 2 76 142 ⓘ |
| hasOfficialWebsite | https://www.ruhmannsfelden.de/ ⓘ |
| hasPopulation | approximately 2000 inhabitants ⓘ |
| hasSettlementType | market town ⓘ |
| isPartOfTouristRegion | Bavarian Forest Nature Park ⓘ |
| isTouristDestinationFor |
hiking
ⓘ
winter sports ⓘ |
| languageUsed | German ⓘ |
| locatedIn |
Bavarian Forest
ⓘ
linked to:
Bayerischer Wald
Eastern Bavaria ⓘ
linked to:
eastern Bavaria
southeastern Germany ⓘ |
| locatedNear |
Deggendorf
ⓘ
Regen ⓘ |
| locatedOnRiver | Teisnach ⓘ |
| mayorParty | CSU ⓘ |
| partOf | Regierungsbezirk Niederbayern ⓘ |
| postalCode | 94239 ⓘ |
| region | Lower Bavaria ⓘ |
| state | Bavaria ⓘ |
| timeZone | CET ⓘ |
| timeZoneDST | CEST ⓘ |
| vehicleRegistrationCode | REG ⓘ |
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: Ruhmannsfelden Description of subject: Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.