Mikulov wine subregion
E753224
The Mikulov wine subregion is a renowned viticultural area in the Czech Republic known for its limestone-rich soils, white wines (especially Riesling and Welschriesling), and picturesque vineyards around the town of Mikulov near the Austrian border.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mikulov wine subregion canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8734834 — 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: Mikulov wine subregion Context triple: [South Moravia, hasWineRegion, Mikulov wine subregion]
-
A.
Znojmo wine subregion
The Znojmo wine subregion is a renowned Moravian wine-growing area in the Czech Republic, noted especially for its high-quality white wines such as Grüner Veltliner and Riesling.
-
B.
Brda wine region
The Brda wine region is a renowned Slovenian wine-growing area known for its rolling hills, Mediterranean-influenced climate, and high-quality white and red wines, particularly Rebula.
-
C.
Lechkhumi wine area
Lechkhumi wine area is a historic Georgian wine-producing region in western Georgia, known for its mountainous vineyards and distinctive local grape varieties.
-
D.
Sopron wine region
Sopron wine region is a historic Hungarian wine-producing area near the Austrian border, known especially for its Kékfrankos (Blaufränkisch) red wines.
-
E.
Neusiedler See wine region
The Neusiedler See wine region is a renowned Austrian wine-growing area around Lake Neusiedl, famous for its sweet botrytized wines and high-quality white and red varieties.
- 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: Mikulov wine subregion Target entity description: The Mikulov wine subregion is a renowned viticultural area in the Czech Republic known for its limestone-rich soils, white wines (especially Riesling and Welschriesling), and picturesque vineyards around the town of Mikulov near the Austrian border.
-
A.
Znojmo wine subregion
The Znojmo wine subregion is a renowned Moravian wine-growing area in the Czech Republic, noted especially for its high-quality white wines such as Grüner Veltliner and Riesling.
-
B.
Brda wine region
The Brda wine region is a renowned Slovenian wine-growing area known for its rolling hills, Mediterranean-influenced climate, and high-quality white and red wines, particularly Rebula.
-
C.
Lechkhumi wine area
Lechkhumi wine area is a historic Georgian wine-producing region in western Georgia, known for its mountainous vineyards and distinctive local grape varieties.
-
D.
Sopron wine region
Sopron wine region is a historic Hungarian wine-producing area near the Austrian border, known especially for its Kékfrankos (Blaufränkisch) red wines.
-
E.
Neusiedler See wine region
The Neusiedler See wine region is a renowned Austrian wine-growing area around Lake Neusiedl, famous for its sweet botrytized wines and high-quality white and red varieties.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf | wine subregion ⓘ |
| borderedBy | Austria NERFINISHED ⓘ |
| borderFeature | Austrian border ⓘ |
| climate | warm continental climate ⓘ |
| country | Czech Republic ⓘ |
| elevationCharacteristic | hilly ⓘ |
| grapeColorFocus | white grapes ⓘ |
| hasCenter | Mikulov NERFINISHED ⓘ |
| hasLandmark | Pálava Hills NERFINISHED ⓘ |
| hasProtectedArea | Pálava Protected Landscape Area NERFINISHED ⓘ |
| hasScenery | picturesque vineyards ⓘ |
| hasTown | Mikulov NERFINISHED ⓘ |
| hasVineyardsAround |
Mikulov
NERFINISHED
ⓘ
Pálava Hills NERFINISHED ⓘ |
| hasWineRoute | Moravian Wine Trails NERFINISHED ⓘ |
| influencedBy | Pannonian climate influences ⓘ |
| knownFor |
Riesling
NERFINISHED
ⓘ
Welschriesling NERFINISHED ⓘ limestone-rich soils ⓘ white wine ⓘ |
| locatedIn |
Moravia
NERFINISHED
ⓘ
South Moravian Region NERFINISHED ⓘ |
| namedAfter | Mikulov NERFINISHED ⓘ |
| partOf |
Czech wine regions
NERFINISHED
ⓘ
Moravian wine region NERFINISHED ⓘ |
| primaryGrapeVariety |
Chardonnay
NERFINISHED
ⓘ
Grüner Veltliner NERFINISHED ⓘ Riesling NERFINISHED ⓘ Sauvignon blanc NERFINISHED ⓘ Welschriesling NERFINISHED ⓘ |
| primaryWineStyle |
aromatic white wine
ⓘ
dry white wine ⓘ |
| regulatoryFramework | Czech wine law ⓘ |
| soilType |
limestone
ⓘ
loess ⓘ |
| terrain | limestone hills ⓘ |
| tourismType | wine tourism ⓘ |
| viticulturalTradition | long-established ⓘ |
| wineColorFocus | white wines ⓘ |
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: Mikulov wine subregion Description of subject: The Mikulov wine subregion is a renowned viticultural area in the Czech Republic known for its limestone-rich soils, white wines (especially Riesling and Welschriesling), and picturesque vineyards around the town of Mikulov near the Austrian border.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.