REG
E805655
REG is the vehicle registration code assigned to the Regen district in Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| REG canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T9540639 — 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: REG Context triple: [Regen (district), vehicleRegistrationCode, REG]
-
A.
Reg
Reg is a common shortened given name, typically derived from Reginald.
-
B.
Registry
The Registry is the administrative organ of the International Criminal Tribunal for Rwanda responsible for managing court services, legal support, and overall tribunal operations.
-
C.
Reg D
Reg D is a Federal Reserve regulation that governs reserve requirements and certain aspects of deposit accounts and transaction limitations for U.S. depository institutions.
-
D.
Reg A
Reg A is a U.S. Securities and Exchange Commission (SEC) regulation that provides an exemption from full securities registration, allowing companies—especially smaller issuers—to raise limited amounts of capital from the public with simplified disclosure requirements.
-
E.
REGN
REGN is the stock ticker symbol for Regeneron Pharmaceuticals, a major U.S.-based biotechnology company known for developing innovative antibody-based therapies.
- 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: REG Target entity description: REG is the vehicle registration code assigned to the Regen district in Germany.
-
A.
Reg
Reg is a common shortened given name, typically derived from Reginald.
-
B.
Registry
The Registry is the administrative organ of the International Criminal Tribunal for Rwanda responsible for managing court services, legal support, and overall tribunal operations.
-
C.
Reg D
Reg D is a Federal Reserve regulation that governs reserve requirements and certain aspects of deposit accounts and transaction limitations for U.S. depository institutions.
-
D.
Reg A
Reg A is a U.S. Securities and Exchange Commission (SEC) regulation that provides an exemption from full securities registration, allowing companies—especially smaller issuers—to raise limited amounts of capital from the public with simplified disclosure requirements.
-
E.
REGN
REGN is the stock ticker symbol for Regeneron Pharmaceuticals, a major U.S.-based biotechnology company known for developing innovative antibody-based therapies.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | vehicle registration code ⓘ |
| administrativeRegionSeat |
Regen
ⓘ
Zwiesel ⓘ |
| appliesToAdministrativeDistrict |
Regen district
ⓘ
linked to:
Regen District
|
| appliesToRegion | Landkreis Regen ⓘ |
| assignedBy | German vehicle registration authorities ⓘ |
| associatedWithDistrict | Regen (district) ⓘ |
| category | German vehicle registration codes ⓘ |
| codeType |
Kfz-Kennzeichen
ⓘ
license plate code ⓘ |
| country | Germany ⓘ |
| countryCode | DE ⓘ |
| federalState |
Bavaria
ⓘ
Freistaat Bayern ⓘ
linked to:
Bavaria
|
| identifierFor | vehicles registered in Regen district ⓘ |
| jurisdictionLevel | district ⓘ |
| languageOfCode | Latin alphabet ⓘ |
| locatedIn |
Bavaria
ⓘ
Germany ⓘ |
| locatedInRegion |
Lower Bavaria
ⓘ
Niederbayern ⓘ |
| numberOfLetters | 3 ⓘ |
| plateFormatExample | REG AB 123 ⓘ |
| registrationAreaType | Landkreis ⓘ |
| transportDomain | road transport ⓘ |
| usedOn |
motor vehicles
ⓘ
trailers ⓘ |
| usedSinceCentury | 20th century ⓘ |
| 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: REG Description of subject: REG is the vehicle registration code assigned to the Regen district in Germany.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.