Lurgan
E438622
Church of Ireland church
Gaelic Athletic Association club
association football club
grammar school
historic house
public park
secondary school
town
Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lurgan canonical | 3 |
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
Church of Ireland church
ⓘ
Gaelic Athletic Association club ⓘ association football club ⓘ grammar school ⓘ historic house ⓘ public park ⓘ secondary school ⓘ town ⓘ |
| country | United Kingdom ⓘ |
| dialingCode |
+44
ⓘ
028 ⓘ |
| distanceTo | about 18 miles southwest of Belfast ⓘ |
| governingBody | Armagh City, Banbridge and Craigavon Borough Council NERFINISHED ⓘ |
| hasBuilding | Brownlow House NERFINISHED ⓘ |
| hasEducationalInstitution |
Lurgan College
NERFINISHED
ⓘ
St Ronan's College NERFINISHED ⓘ |
| hasGAAClub | Clan na Gael GAC NERFINISHED ⓘ |
| hasGaelicName | An Lorgain NERFINISHED ⓘ |
| hasPark | Lurgan Park NERFINISHED ⓘ |
| hasPostcodeArea | BT NERFINISHED ⓘ |
| hasRailwayStation | Lurgan railway station NERFINISHED ⓘ |
| hasReligiousBuilding | Shankill Parish Church NERFINISHED ⓘ |
| hasScotsName | Lurgan NERFINISHED ⓘ |
| hasSportsClub | Glenavon F.C. NERFINISHED ⓘ |
| historicalEconomicActivity |
linen bleaching
ⓘ
linen weaving ⓘ textile manufacturing ⓘ |
| historicalIndustry | linen industry ⓘ |
| languageOfGaelicName | Irish NERFINISHED ⓘ |
| locatedIn |
County Armagh
NERFINISHED
ⓘ
Lurgan NERFINISHED ⓘ Northern Ireland ⓘ |
| locatedOn | Lurgan River NERFINISHED ⓘ |
| near | Lough Neagh NERFINISHED ⓘ |
| notableFeature | large artificial lake ⓘ |
| partOf | Armagh City, Banbridge and Craigavon Borough Council NERFINISHED ⓘ |
| province | Ulster NERFINISHED ⓘ |
| railwayLine | Belfast–Dublin railway line NERFINISHED ⓘ |
| servedBy | M1 motorway (nearby) NERFINISHED ⓘ |
| timezone | GMT ⓘ |
| timezoneDST | BST ⓘ |
| traditionalCountyTownOf | Upper Bann area (informal) NERFINISHED ⓘ |
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: Lurgan Description of subject: Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.