Hörstel
E892783
Hörstel is a small town in North Rhine-Westphalia, Germany, known for its location near the Teutoburg Forest and the Dortmund–Ems Canal.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hörstel canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10892340 — 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: Hörstel Context triple: [Steinfurt (district), contains, Hörstel]
-
A.
Hörsel
Hörsel is a river in central Germany that flows through Thuringia and joins the Werra, contributing to the region’s drainage system.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Hohneck
Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
-
D.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
-
E.
Geiselhöring
Geiselhöring is a small town in Lower Bavaria, Germany, known for its rural character and location within the Straubing-Bogen 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: Hörstel Target entity description: Hörstel is a small town in North Rhine-Westphalia, Germany, known for its location near the Teutoburg Forest and the Dortmund–Ems Canal.
-
A.
Hörsel
Hörsel is a river in central Germany that flows through Thuringia and joins the Werra, contributing to the region’s drainage system.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Hohneck
Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
-
D.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
-
E.
Geiselhöring
Geiselhöring is a small town in Lower Bavaria, Germany, known for its rural character and location within the Straubing-Bogen district.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
town ⓘ |
| areaCode |
05454
ⓘ
05459 ⓘ 05978 ⓘ |
| climate | temperate oceanic climate ⓘ |
| country | Germany NERFINISHED ⓘ |
| elevation | approximately 45 metres ⓘ |
| governmentType | municipal council ⓘ |
| hasGeographicFeature | canal junction near Bevergern lock ⓘ |
| hasMunicipalStatusSince | 20th century ⓘ |
| hasNearbyHill | Teutoburg Forest ridge NERFINISHED ⓘ |
| hasSubdivision |
Bevergern
NERFINISHED
ⓘ
Dreierwalde NERFINISHED ⓘ Hörstel (core town) NERFINISHED ⓘ Riesenbeck NERFINISHED ⓘ |
| hasTransportConnection |
A30 motorway
NERFINISHED
ⓘ
B65 federal road NERFINISHED ⓘ |
| hasWaterway |
Dortmund–Ems Canal
NERFINISHED
ⓘ
Mittelland Canal NERFINISHED ⓘ |
| isInFederalRepublic | Federal Republic of Germany NERFINISHED ⓘ |
| languageUsed | German ⓘ |
| locatedIn |
Germany
ⓘ
North Rhine-Westphalia ⓘ |
| locatedInAdministrativeTerritory | Steinfurt district NERFINISHED ⓘ |
| locatedInRegion | Münsterland NERFINISHED ⓘ |
| locatedInTimeZone | UTC+1 ⓘ |
| locatedInTimeZoneDST | UTC+2 NERFINISHED ⓘ |
| locatedNear |
Dortmund–Ems Canal
NERFINISHED
ⓘ
Ibbenbüren NERFINISHED ⓘ Mittelland Canal NERFINISHED ⓘ Münster NERFINISHED ⓘ Osnabrück NERFINISHED ⓘ Rheine NERFINISHED ⓘ Teutoburg Forest NERFINISHED ⓘ |
| officialLanguage | German ⓘ |
| partOf | Steinfurt district NERFINISHED ⓘ |
| postalCode | 48477 ⓘ |
| regionCode | DE-NW ⓘ |
| state | North Rhine-Westphalia NERFINISHED ⓘ |
| timeZone | Central European Time ⓘ |
| timeZoneDST | Central European Summer Time NERFINISHED ⓘ |
| vehicleRegistrationCode | ST ⓘ |
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: Hörstel Description of subject: Hörstel is a small town in North Rhine-Westphalia, Germany, known for its location near the Teutoburg Forest and the Dortmund–Ems Canal.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.