DL-1
E730453
DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DL-1 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8373686 — 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: DL-1 Context triple: [North Delhi, vehicleRegistrationCode, DL-1]
-
A.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
D-1
D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
-
C.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
D.
DLH
DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
-
E.
DLJ
DLJ was the New York Stock Exchange ticker symbol for Donaldson, Lufkin & Jenrette, a prominent U.S. investment bank and securities firm.
- 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: DL-1 Target entity description: DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
-
A.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
D-1
D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
-
C.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
D.
DLH
DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
-
E.
DLJ
DLJ was the New York Stock Exchange ticker symbol for Donaldson, Lufkin & Jenrette, a prominent U.S. investment bank and securities firm.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
transport identifier
ⓘ
vehicle registration code ⓘ |
| appliesTo | motor vehicles ⓘ |
| appliesToVehicleType |
commercial vehicles
ⓘ
four-wheelers ⓘ private vehicles ⓘ two-wheelers ⓘ |
| country | India ⓘ |
| denotes | vehicles registered in North Delhi district ⓘ |
| followsStandard | Indian motor vehicle registration format ⓘ |
| governingAuthority |
Regional Transport Office, North Delhi
NERFINISHED
ⓘ
Transport Department, Government of NCT of Delhi NERFINISHED ⓘ |
| hasComponent |
districtCode 1
ⓘ
stateOrUTCode DL ⓘ |
| hasPrefix | DL ⓘ |
| identificationScope | district-level within Delhi ⓘ |
| languageOfScript | Latin alphabet NERFINISHED ⓘ |
| locatedInAdministrativeTerritory |
National Capital Territory of Delhi
NERFINISHED
ⓘ
North Delhi district NERFINISHED ⓘ |
| partOfSystem |
Delhi vehicle registration system
ⓘ
Indian vehicle registration plate system ⓘ |
| regionCodeWithinDelhi | 1 ⓘ |
| regulates | identification of motor vehicles in North Delhi district ⓘ |
| usedInJurisdiction | North Delhi district NERFINISHED ⓘ |
| usedOn | vehicle registration plates ⓘ |
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: DL-1 Description of subject: DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.