HD
E89010
HD is the vehicle registration code used for the German city of Heidelberg.
All labels observed (1)
| Label | Occurrences |
|---|---|
| HD canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T749550 — 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: HD Context triple: [Heidelberg, hasVehicleRegistrationCode, HD]
-
A.
HD
HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
-
B.
H.264
H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
-
C.
ProRes
ProRes is a high-quality, high-performance video compression format developed by Apple and widely used in professional video production and post‑production workflows.
-
D.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
E.
Dolby Vision
Dolby Vision is a high-dynamic-range (HDR) imaging technology that enhances video with greater brightness, contrast, and color accuracy for a more lifelike viewing experience.
- 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: HD Target entity description: HD is the vehicle registration code used for the German city of Heidelberg.
-
A.
HD
HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
-
B.
H.264
H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
-
C.
ProRes
ProRes is a high-quality, high-performance video compression format developed by Apple and widely used in professional video production and post‑production workflows.
-
D.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
E.
Dolby Vision
Dolby Vision is a high-dynamic-range (HDR) imaging technology that enhances video with greater brightness, contrast, and color accuracy for a more lifelike viewing experience.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf | vehicle registration code ⓘ |
| administrativeRegion | Baden-Württemberg ⓘ |
| appliesTo |
motor vehicles
ⓘ
trailers ⓘ |
| associatedWithDistrict | urban district of Heidelberg ⓘ |
| category |
geographic code
ⓘ
transportation code ⓘ |
| codeType | license plate code ⓘ |
| country | Germany ⓘ |
| format | prefix on German license plates ⓘ |
| identifies | place of vehicle registration ⓘ |
| introducedBy | German authorities ⓘ |
| jurisdiction | local vehicle registration office Heidelberg ⓘ |
| language | German ⓘ |
| length | 2 letters ⓘ |
| partOfSystem | German regional vehicle codes ⓘ |
| regionCodeFor |
Heidelberg
ⓘ
surface form:
Heidelberg, Germany
|
| regionType | city ⓘ |
| regulatedBy | German road traffic regulations ⓘ |
| represents | Heidelberg ⓘ |
| status | active ⓘ |
| usedBy |
businesses in Heidelberg
ⓘ
residents of Heidelberg ⓘ |
| usedIn | Heidelberg ⓘ |
| usedSince | 20th century ⓘ |
| vehicleRegistrationSystem | German vehicle registration plate system ⓘ |
| 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: HD Description of subject: HD is the vehicle registration code used for the German city of Heidelberg.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Weinheim