STA
E219463
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| STA canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T1970484 — 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: STA Context triple: [Starnberg, vehicleRegistrationCode, STA]
-
A.
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
B.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
C.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
D.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
-
E.
STE
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
- 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: STA Target entity description: STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
-
A.
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
B.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
C.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
D.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
-
E.
STE
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf | vehicle registration code ⓘ |
| appliesTo |
motor vehicles
ⓘ
trailers ⓘ |
| codeType | German vehicle registration plate code ⓘ |
| country | Germany ⓘ |
| district | Starnberg ⓘ |
| jurisdiction |
Germany
ⓘ
surface form:
Federal Republic of Germany
|
| languageOfLetters | Latin alphabet ⓘ |
| letters |
A
ⓘ
S ⓘ T ⓘ |
| locatedInAdministrativeTerritory | Upper Bavaria ⓘ |
| regulatesBy | German vehicle registration law ⓘ |
| state | Bavaria ⓘ |
| usedIn | district of Starnberg ⓘ |
| vehicleRegistrationCodeFor |
District of Starnberg
ⓘ
surface form:
district of Starnberg
|
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: STA Description of subject: STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.