Warehouse No.1
E1017980
Warehouse No.1 is an industrial storage building located directly beside Warehouse No.2.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Warehouse No.1 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13043545 — 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: Warehouse No.1 Context triple: [Warehouse No.2, adjacentTo, Warehouse No.1]
-
A.
Warehouse No.2
Warehouse No.2 is one of the historic red brick commercial and cultural buildings within the Yokohama Red Brick Warehouse complex in Yokohama, Japan.
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B.
Warehouse District
Warehouse District is an urban neighborhood in Houston known for its former industrial buildings, many of which have been converted into lofts, studios, and creative commercial spaces.
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C.
Warehouse District
Warehouse District is a vibrant nightlife and entertainment area in downtown Austin known for its converted industrial buildings, bars, restaurants, and live music venues.
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D.
Warehouse District
Warehouse District is a historic neighborhood in downtown Cleveland known for its preserved 19th-century brick warehouses, vibrant nightlife, and residential loft conversions.
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E.
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.
- 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: Warehouse No.1 Target entity description: Warehouse No.1 is an industrial storage building located directly beside Warehouse No.2.
-
A.
Warehouse No.2
Warehouse No.2 is one of the historic red brick commercial and cultural buildings within the Yokohama Red Brick Warehouse complex in Yokohama, Japan.
-
B.
Warehouse District
Warehouse District is an urban neighborhood in Houston known for its former industrial buildings, many of which have been converted into lofts, studios, and creative commercial spaces.
-
C.
Warehouse District
Warehouse District is a vibrant nightlife and entertainment area in downtown Austin known for its converted industrial buildings, bars, restaurants, and live music venues.
-
D.
Warehouse District
Warehouse District is a historic neighborhood in downtown Cleveland known for its preserved 19th-century brick warehouses, vibrant nightlife, and residential loft conversions.
-
E.
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.
- F. None of above. chosen
Statements (6)
| Predicate | Object |
|---|---|
| instanceOf |
industrial building
ⓘ
warehouse ⓘ |
| buildingType | industrial storage building ⓘ |
| hasFunction | storage ⓘ |
| isAdjacentTo | Warehouse No.2 ⓘ |
| isLocatedBeside | Warehouse No.2 ⓘ |
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: Warehouse No.1 Description of subject: Warehouse No.1 is an industrial storage building located directly beside Warehouse No.2.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.