CR
E551201
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CR canonical | 2 |
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf |
Italian vehicle registration code
ⓘ
license plate code ⓘ |
| adminRegionLevel | province ⓘ |
| appliesTo |
city of Cremona
NERFINISHED
ⓘ
province of Cremona NERFINISHED ⓘ |
| associatedWith |
Italian city of Cremona
ⓘ
Italian province of Cremona NERFINISHED ⓘ |
| codeLength | 2 letters ⓘ |
| codeType | provincial code ⓘ |
| country | Italy ⓘ |
| countrySubdivision | Lombardy NERFINISHED ⓘ |
| jurisdiction |
City of Cremona
NERFINISHED
ⓘ
Province of Cremona NERFINISHED ⓘ |
| partOfSystem | Italian provincial vehicle registration codes ⓘ |
| represents | Cremona NERFINISHED ⓘ |
| status | in use ⓘ |
| usedFor | vehicle registration ⓘ |
| usedOn | Italian vehicle license plates ⓘ |
| writingSystem | Latin alphabet ⓘ |
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: CR Description of subject: CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.