Tennstädt
E1020643
Tennstädt is a small town in the Thuringia region of central Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tennstädt canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12085051 — 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: Tennstädt Context triple: [Johann August Ernesti, placeOfBirth, Tennstädt]
-
A.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
D.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
E.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
- 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: Tennstädt Target entity description: Tennstädt is a small town in the Thuringia region of central Germany.
-
A.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
D.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
E.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
town ⓘ |
| climateClassification | temperate climate ⓘ |
| coordinateLocation | 51.1167° N, 10.7833° E ⓘ |
| country | Germany ⓘ |
| countrySubdivision |
federal state of Thuringia
ⓘ
linked to:
Thuringia
|
| drainageBasin | Elbe River basin ⓘ |
| governmentType | municipal government ⓘ |
| hasDialingCode |
+49
ⓘ
+49 36042 ⓘ |
| hasMayorTitle | Bürgermeister ⓘ |
| hasOfficialLanguage | German ⓘ |
| hasPostalCode | 99955 ⓘ |
| hasSubdivisionType | Ortsteil ⓘ |
| hasVehicleRegistrationCode | UH ⓘ |
| isSubjectOf | German local government statistics ⓘ |
| locatedIn |
Federal State of Thuringia in Germany
ⓘ
linked to:
Thuringia
Thuringia ⓘ central Germany ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedOnContinent | Europe ⓘ |
| partOf |
Federal Republic of Germany
ⓘ
linked to:
West Germany
Unstrut-Hainich-Kreis ⓘ |
| topLevelInternetDomain |
.de
ⓘ
linked to:
DE
|
| usesCurrency | euro ⓘ |
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: Tennstädt Description of subject: Tennstädt is a small town in the Thuringia region of central Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.