Herrenstraße, Karlsruhe
E502093
Herrenstraße in Karlsruhe is a prominent street best known for housing Germany’s Federal Court of Justice.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Herrenstraße, Karlsruhe canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5187828 — 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: Herrenstraße, Karlsruhe Context triple: [Federal Court of Justice of Germany, buildingLocation, Herrenstraße, Karlsruhe]
-
A.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
B.
Chausseestraße
Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
-
C.
Gustav-Adolf-Straße
Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
-
D.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
E.
Hirzelstrasse
Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
- 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: Herrenstraße, Karlsruhe Target entity description: Herrenstraße in Karlsruhe is a prominent street best known for housing Germany’s Federal Court of Justice.
-
A.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
B.
Chausseestraße
Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
-
C.
Gustav-Adolf-Straße
Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
-
D.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
E.
Hirzelstrasse
Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
- F. None of above. chosen
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf |
city
ⓘ
federal state of Germany ⓘ street ⓘ supreme court ⓘ |
| country | Germany ⓘ |
| hasCity | Karlsruhe ⓘ |
| hasCountry | Germany ⓘ |
| hasFederalState | Baden-Württemberg ⓘ |
| hasGermanName | Herrenstraße ⓘ |
| hasLandmark | Federal Court of Justice of Germany ⓘ |
| hasPostalCode |
76131
ⓘ
76133 ⓘ |
| hasSupremeCourt | Federal Court of Justice of Germany ⓘ |
| knownFor | housing the Federal Court of Justice of Germany ⓘ |
| locatedIn | Karlsruhe ⓘ |
| locatedInAdministrativeTerritory |
Karlsruhe (urban district)
ⓘ
linked to:
Karlsruhe
State of Baden-Württemberg ⓘ
linked to:
Baden-Württemberg
|
| locatedOnStreet | Herrenstraße, Karlsruhe ⓘ |
| partOf | Karlsruhe city centre ⓘ |
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: Herrenstraße, Karlsruhe Description of subject: Herrenstraße in Karlsruhe is a prominent street best known for housing Germany’s Federal Court of Justice.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.