TKN
E561863
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TKN canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T6017399 — 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: TKN Context triple: [Końskie County, hasVehicleRegistrationCode, TKN]
-
A.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
B.
KTN
KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
-
C.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
D.
TKF
TKF is the IATA airport code for Truckee Tahoe Airport, a general aviation airport serving the Truckee and Lake Tahoe region in California, USA.
-
E.
TN
TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
- 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: TKN Target entity description: TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
-
A.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
B.
KTN
KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
-
C.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
D.
TKF
TKF is the IATA airport code for Truckee Tahoe Airport, a general aviation airport serving the Truckee and Lake Tahoe region in California, USA.
-
E.
TN
TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
Polish vehicle registration plate code
ⓘ
vehicle registration code ⓘ |
| appliesToAdministrativeUnit | Końskie County NERFINISHED ⓘ |
| codeFormat | three-letter prefix on Polish license plates ⓘ |
| codeType | county-level registration code ⓘ |
| country | Poland ⓘ |
| firstLetterMeaning | Świętokrzyskie Voivodeship NERFINISHED ⓘ |
| issuingAuthority | Polish vehicle registration authorities ⓘ |
| language | Polish ⓘ |
| regionType | powiat (county) ⓘ |
| usedFor | identification of vehicle registration location in Poland ⓘ |
| usedIn | Końskie County NERFINISHED ⓘ |
| vehicleRegistrationArea | Końskie County NERFINISHED ⓘ |
| voivodeship | Świętokrzyskie Voivodeship NERFINISHED ⓘ |
| 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: TKN Description of subject: TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.