Slough, United Kingdom

E383021

Slough, United Kingdom, is a large town in Berkshire west of London, known historically for its industrial estates, diverse population, and strong transport links including proximity to Heathrow Airport.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
Slough, United Kingdom canonical 1

Statements (49)

Predicate Object
instanceOf human settlement
industrial estate
town
adjacentTo Buckinghamshire
Greater London
Windsor and Maidenhead
country United Kingdom
distanceToLondon approximately 20 miles west
governingBody Slough Borough Council
hasCulturalReference poem "Slough" by John Betjeman
hasDialingCode 01753
hasEducationalInstitution Herschel Grammar School
Langley Grammar School
Upton Court Grammar School
hasIndustrialArea Slough Trading Estate
hasLocalAuthority Slough Borough Council
hasPostcodeArea SL
hasRailwayStation Burnham railway station
Langley railway station
Slough railway station
hasRegion Chalvey
Cippenham
Colnbrook
Langley
Upton
Wexham
hasRiver River Thames nearby
hasStatus borough
unitary authority
hasTransportLink A4 road NERFINISHED
Elizabeth line
Great Western Main Line
M4 motorway NERFINISHED
hasTwinTown Montreuil, France
Riga
surface form: Riga, Latvia
knownFor ethnically diverse population
large industrial estates
proximity to Heathrow Airport
strong transport links to London
locatedIn Berkshire
England
Slough
South East England
locatedInTimeZone British Summer Time
Greenwich Mean Time
locatedOn Great Western Main Line
surface form: Great Western Main Line corridor
near Heathrow Airport
London, England
surface form: London
partOf Borough of Slough
surface form: Slough Borough

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: Slough, United Kingdom
Description of subject: Slough, United Kingdom, is a large town in Berkshire west of London, known historically for its industrial estates, diverse population, and strong transport links including proximity to Heathrow Airport.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Citroën Traction Avant assemblyLocation Slough, United Kingdom