former Kaispeicher A warehouse
E258712
The former Kaispeicher A warehouse was a historic brick storage building in Hamburg’s port that was transformed into the base of the Elbphilharmonie concert hall.
All labels observed (1)
| Label | Occurrences |
|---|---|
| former Kaispeicher A warehouse canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2337455 — 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: former Kaispeicher A warehouse Context triple: [Elbphilharmonie, builtOn, former Kaispeicher A warehouse]
-
A.
The Great Northern Warehouse
The Great Northern Warehouse is a historic former railway goods warehouse in Manchester that has been converted into a mixed-use leisure, retail, and office complex.
-
B.
Nopo Depot
Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
C.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
-
E.
Bachet depot
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
- 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: former Kaispeicher A warehouse Target entity description: The former Kaispeicher A warehouse was a historic brick storage building in Hamburg’s port that was transformed into the base of the Elbphilharmonie concert hall.
-
A.
The Great Northern Warehouse
The Great Northern Warehouse is a historic former railway goods warehouse in Manchester that has been converted into a mixed-use leisure, retail, and office complex.
-
B.
Nopo Depot
Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
C.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
-
E.
Bachet depot
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
brick building
ⓘ
historic building ⓘ port warehouse ⓘ warehouse ⓘ |
| architecturalStyle | brick warehouse architecture ⓘ |
| associatedWith | Elbphilharmonie concert hall ⓘ |
| city | Hamburg ⓘ |
| country | Germany ⓘ |
| formerName | Kaispeicher A ⓘ |
| functionAfterConversion | base structure of the Elbphilharmonie concert hall ⓘ |
| hasPart | massive brick base of Elbphilharmonie ⓘ |
| heritage | industrial heritage of Hamburg ⓘ |
| locatedIn |
Germany
ⓘ
HafenCity, Hamburg ⓘ Hamburg ⓘ Port of Hamburg ⓘ |
| locatedInWaterfrontArea |
Hamburg port
ⓘ
linked to:
Port of Hamburg
|
| locatedOn |
Elbe River
ⓘ
linked to:
Elbe
|
| material | brick ⓘ |
| partOf |
Elbphilharmonie
ⓘ
linked to:
Elbphilharmonie concert hall
|
| reusedAs | foundation of a concert hall ⓘ |
| significance |
example of adaptive reuse of industrial architecture
ⓘ
landmark in Hamburg’s port history ⓘ |
| status | repurposed ⓘ |
| usedFor | storage of goods ⓘ |
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: former Kaispeicher A warehouse Description of subject: The former Kaispeicher A warehouse was a historic brick storage building in Hamburg’s port that was transformed into the base of the Elbphilharmonie concert hall.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Elbphilharmonie concert hall