AS-03
E176412
AS-03 is the regional vehicle registration code assigned to motor vehicles registered in Jorhat, a district in the Indian state of Assam.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AS-03 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1548227 — 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: AS-03 Context triple: [Jorhat, vehicleRegistrationCode, AS-03]
-
A.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
B.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
C.
C-3
C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
-
D.
OSD(A&S)
OSD(A&S) is the U.S. Department of Defense organization responsible for overseeing defense acquisition, procurement, and sustainment of military systems and services.
-
E.
A3C
A3C (Asynchronous Advantage Actor-Critic) is a reinforcement learning algorithm that trains multiple parallel agents to learn policies and value functions efficiently using asynchronous gradient updates.
- 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: AS-03 Target entity description: AS-03 is the regional vehicle registration code assigned to motor vehicles registered in Jorhat, a district in the Indian state of Assam.
-
A.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
B.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
C.
C-3
C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
-
D.
OSD(A&S)
OSD(A&S) is the U.S. Department of Defense organization responsible for overseeing defense acquisition, procurement, and sustainment of military systems and services.
-
E.
A3C
A3C (Asynchronous Advantage Actor-Critic) is a reinforcement learning algorithm that trains multiple parallel agents to learn policies and value functions efficiently using asynchronous gradient updates.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
regional transport office code
ⓘ
vehicle registration code ⓘ |
| appliesTo |
commercial vehicles
ⓘ
four-wheelers ⓘ private vehicles ⓘ two-wheelers ⓘ |
| assignedTo | motor vehicles registered in Jorhat district ⓘ |
| category |
Assam transport code
ⓘ
Indian regional vehicle registration code ⓘ |
| codeFormat | alphanumeric ⓘ |
| codePrefix | AS ⓘ |
| country | India ⓘ |
| countryCodeStandard |
ISO 3166-2:IN (India context)
ⓘ
linked to:
ISO 3166-2:IN
|
| district | Jorhat district ⓘ |
| governingAuthority |
Regional Transport Office, Jorhat
ⓘ
linked to:
Assam Transport Department
Transport Department, Government of Assam ⓘ
linked to:
Assam Transport Department
|
| jurisdiction |
Jorhat Regional Transport Office
ⓘ
linked to:
Assam Transport Department
|
| language | English alphabet ⓘ |
| notation | AS-03 ⓘ |
| partOf | Assam vehicle registration series ⓘ |
| regionType | Regional Transport Office jurisdiction ⓘ |
| registrationSystem | Indian vehicle registration system ⓘ |
| script | Latin script ⓘ |
| state | Assam ⓘ |
| usedFor |
vehicle identification
ⓘ
vehicle registration ⓘ |
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: AS-03 Description of subject: AS-03 is the regional vehicle registration code assigned to motor vehicles registered in Jorhat, a district in the Indian state of Assam.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.