DA
E629812
DA is the vehicle registration code for the German city of Darmstadt and its surrounding district in the state of Hesse.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DA canonical | 8 |
How this entity was disambiguated
This entity first appeared as the object of triple T6925396 — 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: DA Context triple: [Egelsbach, vehicleRegistrationCode, DA]
-
A.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
B.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
C.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
-
D.
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
- 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: DA Target entity description: DA is the vehicle registration code for the German city of Darmstadt and its surrounding district in the state of Hesse.
-
A.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
B.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
C.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
-
D.
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | vehicle registration code ⓘ |
| administrativeRegion | Regierungsbezirk Darmstadt ⓘ |
| appliesToCity | Darmstadt ⓘ |
| appliesToDistrict |
Darmstadt-Dieburg district
ⓘ
linked to:
Darmstadt-Dieburg
|
| associatedCity | Darmstadt ⓘ |
| associatedDistrict | Darmstadt-Dieburg ⓘ |
| codeType | license plate prefix ⓘ |
| continent | Europe ⓘ |
| country | Germany ⓘ |
| distinguishesFrom | other German registration codes such as F, WI, OF ⓘ |
| federalState | Hesse ⓘ |
| formatExample | DA AB 1234 ⓘ |
| indicatesRegistrationAuthority |
city of Darmstadt
ⓘ
linked to:
Darmstadt
district of Darmstadt-Dieburg ⓘ
linked to:
Landkreis Darmstadt-Dieburg
|
| introducedInCountry |
Federal Republic of Germany
ⓘ
linked to:
Germany
|
| jurisdiction |
Federal Motor Transport Authority of Germany
ⓘ
linked to:
German Federal Motor Transport Authority
|
| languageOfLetters | Latin alphabet ⓘ |
| letterCount | 2 ⓘ |
| locatedInNUTS1Region | DE7 Hesse ⓘ |
| regionType |
rural district
ⓘ
urban district ⓘ |
| usedIn | road traffic identification ⓘ |
| usedOn |
motor vehicles
ⓘ
trailers ⓘ |
| vehicleRegistrationSystem | German vehicle registration plate system ⓘ |
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: DA Description of subject: DA is the vehicle registration code for the German city of Darmstadt and its surrounding district in the state of Hesse.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.