Swan Centre
E234806
Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Swan Centre canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2094349 — 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: Swan Centre Context triple: [Leatherhead, hasShoppingCentre, Swan Centre]
-
A.
Runnymede Civic Centre
Runnymede Civic Centre is a key municipal building in Addlestone that houses local government offices and community services for the Borough of Runnymede.
-
B.
Banbury Center
Banbury Center is a renowned conference and retreat facility at Cold Spring Harbor Laboratory that hosts small, high-level scientific meetings and workshops.
-
C.
Greenoaks Centre
Greenoaks Centre is a retail shopping complex located in the town of Widnes in Cheshire, England.
-
D.
York Centre
York Centre is a federal electoral district in Toronto, Ontario, known for its diverse, largely urban population and long-standing Liberal Party representation.
-
E.
Granta Park
Granta Park is a major science and business park in the Cambridge area, known for hosting high-tech and biotech companies within the broader Silicon Fen cluster.
- 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: Swan Centre Target entity description: Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
-
A.
Runnymede Civic Centre
Runnymede Civic Centre is a key municipal building in Addlestone that houses local government offices and community services for the Borough of Runnymede.
-
B.
Banbury Center
Banbury Center is a renowned conference and retreat facility at Cold Spring Harbor Laboratory that hosts small, high-level scientific meetings and workshops.
-
C.
Greenoaks Centre
Greenoaks Centre is a retail shopping complex located in the town of Widnes in Cheshire, England.
-
D.
York Centre
York Centre is a federal electoral district in Toronto, Ontario, known for its diverse, largely urban population and long-standing Liberal Party representation.
-
E.
Granta Park
Granta Park is a major science and business park in the Cambridge area, known for hosting high-tech and biotech companies within the broader Silicon Fen cluster.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
retail complex
ⓘ
shopping centre ⓘ |
| country | England ⓘ |
| countrySubdivision | England ⓘ |
| hasAccessibility | public access ⓘ |
| hasCustomerType |
local residents
ⓘ
visitors to Leatherhead ⓘ |
| hasEconomicRole |
local retail hub
ⓘ
supports local businesses ⓘ |
| hasFeature |
indoor shopping area
ⓘ
multiple retail units ⓘ service-oriented businesses ⓘ |
| hasUse |
retail
ⓘ
services ⓘ |
| isPartOf |
Leatherhead town centre
ⓘ
linked to:
Leatherhead parish
|
| locatedIn |
Leatherhead
ⓘ
Surrey ⓘ United Kingdom ⓘ |
| locatedInTimeZone | Europe/London ⓘ |
| offers |
local services
ⓘ
range of retail stores ⓘ |
| primaryFunction |
community services
ⓘ
shopping ⓘ |
| serves |
Leatherhead community
ⓘ
local shoppers ⓘ |
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: Swan Centre Description of subject: Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Leatherhead, Surrey, England