Town Hall, Newark-on-Trent
E307264
Town Hall, Newark-on-Trent is a historic civic building in the centre of Newark-on-Trent, England, serving as a focal point for local government and community events.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Town Hall, Newark-on-Trent canonical | 1 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
historic building
ⓘ
municipal building ⓘ town hall ⓘ |
| buildingType | civic building ⓘ |
| category |
Buildings and structures in Newark-on-Trent
ⓘ
City and town halls in Nottinghamshire ⓘ |
| country | England ⓘ |
| function |
civic building
ⓘ
community events venue ⓘ local government venue ⓘ |
| governingBody |
Newark and Sherwood District Council
ⓘ
surface form:
local council of Newark-on-Trent
|
| heritageStatus | historic ⓘ |
| locatedIn |
East Midlands
ⓘ
Newark-on-Trent ⓘ Nottinghamshire ⓘ United Kingdom ⓘ town centre of Newark-on-Trent ⓘ |
| locationCountry | England ⓘ |
| locationTown | Newark-on-Trent ⓘ |
| ownedBy | local authority of Newark-on-Trent ⓘ |
| primaryUsers |
local community
ⓘ
local government ⓘ |
| publicAccess | yes ⓘ |
| regionServed | Newark-on-Trent and surrounding area ⓘ |
| significance |
focal point for community events
ⓘ
focal point for local government ⓘ |
| use |
civic ceremonies
ⓘ
municipal administration ⓘ public meetings ⓘ |
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: Town Hall, Newark-on-Trent Description of subject: Town Hall, Newark-on-Trent is a historic civic building in the centre of Newark-on-Trent, England, serving as a focal point for local government and community events.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.