BNA
E185210
BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| BNA canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1624724 — 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: BNA Context triple: [District of Leipzig, vehicleRegistrationCode, BNA]
-
A.
BNA
BNA is the three-letter IATA airport code for Nashville International Airport, the primary commercial airport serving Nashville, Tennessee.
-
B.
BN
BN is the vehicle registration code used on license plates for the German city of Bonn.
-
C.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
-
D.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
E.
BAW
BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
- 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: BNA Target entity description: BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
-
A.
BNA
BNA is the three-letter IATA airport code for Nashville International Airport, the primary commercial airport serving Nashville, Tennessee.
-
B.
BN
BN is the vehicle registration code used on license plates for the German city of Bonn.
-
C.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
-
D.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
E.
BAW
BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
- F. None of above. chosen
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf | vehicle registration code ⓘ |
| appliesToJurisdiction | district of Leipzig ⓘ |
| category |
transport in Saxony
ⓘ
vehicle registration plates of Germany ⓘ |
| codeType | license plate code ⓘ |
| country | Germany ⓘ |
| hasNumberOfLetters | 3 ⓘ |
| identifierFor | place of vehicle registration ⓘ |
| isPartOfSystem | German vehicle registration plate system ⓘ |
| language | German ⓘ |
| locatedInAdministrativeTerritory |
Free State of Saxony
ⓘ
linked to:
Saxony
Leipzig (district) ⓘ
linked to:
District of Leipzig
|
| usedFor | motor vehicle registration ⓘ |
| usedOn |
buses
ⓘ
cars ⓘ motorcycles ⓘ trucks ⓘ |
| 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: BNA Description of subject: BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.