DLG
E316251
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DLG canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2989381 — 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: DLG Context triple: [Blindheim, hasVehicleRegistrationCode, DLG]
-
A.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
B.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
- 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: DLG Target entity description: DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
A.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
B.
DAL
DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
D.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
E.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
- F. None of above. chosen
Statements (12)
| Predicate | Object |
|---|---|
| instanceOf | vehicle registration code ⓘ |
| appliesToDistrict | Dillingen an der Donau ⓘ |
| appliesToMunicipality | Blindheim ⓘ |
| associatedWithCountryCode | DE ⓘ |
| codeType | licence plate code ⓘ |
| country | Germany ⓘ |
| federalState | Bavaria ⓘ |
| locatedInAdministrativeTerritory | Swabia (Bavaria) ⓘ |
| numberOfLetters | 3 ⓘ |
| usedFor | motor vehicle registration plates ⓘ |
| usedIn | district of Dillingen an der Donau, Bavaria, Germany ⓘ |
| 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: DLG Description of subject: DLG is the vehicle registration code for the municipality of Blindheim in Germany.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.