SW
E898359
SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SW canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10988324 — 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: SW Context triple: [Schweinfurt (district), vehicleRegistrationCode, SW]
-
A.
Wa
Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
-
B.
Wa
Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
-
C.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
D.
SV
SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
-
E.
SV
SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
- 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: SW Target entity description: SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
-
A.
Wa
Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
-
B.
Wa
Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
-
C.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
D.
SV
SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
-
E.
SV
SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
license plate code
ⓘ
vehicle registration code ⓘ |
| administrativeRegion | Lower Franconia NERFINISHED ⓘ |
| appliesTo |
motor vehicles
ⓘ
trailers ⓘ |
| associatedWithCity | Schweinfurt NERFINISHED ⓘ |
| category | German vehicle registration codes ⓘ |
| codeFormat | two-letter code ⓘ |
| country | Germany NERFINISHED ⓘ |
| district | Schweinfurt district NERFINISHED ⓘ |
| federalState | Bavaria NERFINISHED ⓘ |
| hasFirstLetter | S ⓘ |
| hasSecondLetter | W ⓘ |
| introducedInCountry | Germany NERFINISHED ⓘ |
| ISO3166-1Alpha2Country | DE ⓘ |
| jurisdiction | Schweinfurt district vehicle registration authority NERFINISHED ⓘ |
| language | Latin alphabet NERFINISHED ⓘ |
| partOfSystem | German vehicle registration plate system ⓘ |
| regionType | Landkreis ⓘ |
| represents | Schweinfurt district NERFINISHED ⓘ |
| usedFor | identification of vehicle registration location ⓘ |
| usedIn | Germany NERFINISHED ⓘ |
| usedOn | vehicle license plates ⓘ |
| vehicleRegistrationArea | Schweinfurt district NERFINISHED ⓘ |
| writingSystem |
Latin alphabet
ⓘ
surface form:
Latin script
|
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: SW Description of subject: SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.