B9
E727421
B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
All labels observed (1)
| Label | Occurrences |
|---|---|
| B9 canonical | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Audi A4 generation
ⓘ
automobile platform ⓘ |
| allWheelDriveSystem | quattro NERFINISHED ⓘ |
| bodyStyle |
4-door sedan
ⓘ
5-door estate ⓘ 5-door wagon ⓘ |
| class | compact executive car ⓘ |
| drivetrain |
AWD
ⓘ
FWD ⓘ |
| engineType |
turbocharged diesel engines
ⓘ
turbocharged petrol engines ⓘ |
| facelift | Audi A4 B9 facelift 2019 NERFINISHED ⓘ |
| faceliftFeature |
revised front and rear styling
ⓘ
revised infotainment system ⓘ updated lighting technology ⓘ |
| faceliftYear | 2019 ⓘ |
| fuelType |
diesel
ⓘ
petrol ⓘ |
| layout |
front-engine, all-wheel-drive
ⓘ
front-engine, front-wheel-drive ⓘ |
| manufacturer | Audi NERFINISHED ⓘ |
| market |
Asia
NERFINISHED
ⓘ
Europe ⓘ North America ⓘ |
| marketNameEstate | Audi A4 Avant NERFINISHED ⓘ |
| marketNameSedan | Audi A4 Sedan NERFINISHED ⓘ |
| modelYearStart | 2016 ⓘ |
| notableFeature |
Audi virtual cockpit
NERFINISHED
ⓘ
MMI infotainment system NERFINISHED ⓘ advanced driver assistance systems ⓘ improved fuel efficiency over B8 ⓘ reduced weight compared to B8 ⓘ updated exterior styling ⓘ updated interior design ⓘ |
| parentCompany | Volkswagen Group NERFINISHED ⓘ |
| platform | MLB Evo ⓘ |
| predecessor | Audi A4 B8 NERFINISHED ⓘ |
| productionStart | 2015 ⓘ |
| relatedModel |
Audi RS4 B9
NERFINISHED
ⓘ
Audi S4 B9 NERFINISHED ⓘ |
| safetyFeature |
adaptive cruise control
ⓘ
automatic emergency braking ⓘ lane keeping assist ⓘ traffic jam assist ⓘ |
| successor | Audi A4 B10 NERFINISHED ⓘ |
| transmissionOption |
S tronic dual-clutch transmission
ⓘ
Tiptronic automatic transmission ⓘ manual transmission ⓘ |
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: B9 Description of subject: B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.