Golßener Straße
E1011627
Golßener Straße is a street in Berlin, Germany, located in the Neukölln area near Columbiadamm and the former Tempelhof Airport grounds.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Golssener Strasse | 1 |
| Golßener Straße canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12551123 — 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: Golßener Straße Context triple: [Columbiadamm, hasJunctionWith, Golßener Straße]
-
A.
Grunerstraße
Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
-
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.
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.
-
D.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
E.
Hedderichstraße
Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
- 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: Golßener Straße Target entity description: Golßener Straße is a street in Berlin, Germany, located in the Neukölln area near Columbiadamm and the former Tempelhof Airport grounds.
-
A.
Grunerstraße
Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
-
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.
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.
-
D.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
E.
Hedderichstraße
Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
street
ⓘ
thoroughfare ⓘ |
| belongsTo | State of Berlin ⓘ |
| continent | Europe ⓘ |
| country | Germany ⓘ |
| hasLanguageOfName | German ⓘ |
| hasNameInLanguage | Golßener Straße ⓘ |
| hasPostalCodeRegion | 12000–12999 Berlin postal code area ⓘ |
| hasPublicTransportAccess | yes ⓘ |
| hasSpellingVariant |
Golssener Strasse
ⓘ
linked to:
Golßener Straße
|
| isSubjectOf | local Berlin address directories ⓘ |
| locatedIn | Berlin ⓘ |
| locatedInAdministrativeTerritory |
Borough of Neukölln
ⓘ
linked to:
Neukölln
|
| locatedInNeighborhood | Neukölln ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedNear |
Columbiadamm
ⓘ
former Tempelhof Airport grounds ⓘ
linked to:
Tempelhofer Feld
|
| partOf | Berlin road network ⓘ |
| roadType | urban street ⓘ |
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: Golßener Straße Description of subject: Golßener Straße is a street in Berlin, Germany, located in the Neukölln area near Columbiadamm and the former Tempelhof Airport grounds.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Golßener Straße