Kölner Straße (Fischeln centre)
E718632
Kölner Straße (Fischeln centre) is the main shopping and commercial street in the central district of Fischeln in Krefeld, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kölner Straße (Fischeln centre) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8200792 — 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: Kölner Straße (Fischeln centre) Context triple: [Fischeln, hasShoppingStreet, Kölner Straße (Fischeln centre)]
-
A.
Prinz-Albrecht-Straße area
The Prinz-Albrecht-Straße area in Berlin was a central site of Nazi repression, housing key institutions of the Third Reich’s security and terror apparatus.
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B.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
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C.
Voßstraße
Voßstraße is a street in central Berlin, Germany, historically notable for hosting key government buildings of the German Empire and Nazi era near Potsdamer Platz and the government quarter.
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D.
Beusselstraße
Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
-
E.
Bornholmer Strasse
Bornholmer Strasse is a major street and former border crossing in Berlin, Germany, known as the site where the Berlin Wall first opened on 9 November 1989.
- 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: Kölner Straße (Fischeln centre) Target entity description: Kölner Straße (Fischeln centre) is the main shopping and commercial street in the central district of Fischeln in Krefeld, Germany.
-
A.
Prinz-Albrecht-Straße area
The Prinz-Albrecht-Straße area in Berlin was a central site of Nazi repression, housing key institutions of the Third Reich’s security and terror apparatus.
-
B.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
C.
Voßstraße
Voßstraße is a street in central Berlin, Germany, historically notable for hosting key government buildings of the German Empire and Nazi era near Potsdamer Platz and the government quarter.
-
D.
Beusselstraße
Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
-
E.
Bornholmer Strasse
Bornholmer Strasse is a major street and former border crossing in Berlin, Germany, known as the site where the Berlin Wall first opened on 9 November 1989.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
shopping street
ⓘ
street ⓘ |
| country | Germany NERFINISHED ⓘ |
| hasEconomicRole |
commercial backbone of Fischeln centre
ⓘ
local retail centre for Fischeln ⓘ |
| hasFunction |
gastronomy
ⓘ
retail ⓘ services ⓘ |
| hasNameLanguage | German ⓘ |
| hasStreetType | urban street ⓘ |
| isMain |
commercial street of Fischeln centre
ⓘ
shopping street of Fischeln centre ⓘ |
| locatedIn |
Fischeln
NERFINISHED
ⓘ
Germany ⓘ Krefeld NERFINISHED ⓘ North Rhine-Westphalia ⓘ |
| nameMeaning | Cologne Street NERFINISHED ⓘ |
| partOf |
Fischeln centre
NERFINISHED
ⓘ
city of Krefeld NERFINISHED ⓘ district of Fischeln ⓘ |
| urbanClassification | central business street of Fischeln ⓘ |
| usedFor |
commercial activities
ⓘ
pedestrian access to local shops ⓘ shopping ⓘ |
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: Kölner Straße (Fischeln centre) Description of subject: Kölner Straße (Fischeln centre) is the main shopping and commercial street in the central district of Fischeln in Krefeld, Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.