St Leonards
E644381
St Leonards is a suburb on Sydney’s North Shore known for its commercial offices, transport hub, and proximity to major hospitals and educational institutions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| St Leonards canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
locality
ⓘ
suburb ⓘ |
| country | Australia ⓘ |
| distanceToSydneyCBD | approximately 5 km north-west ⓘ |
| federalDivision | North Sydney NERFINISHED ⓘ |
| governedBy |
City of Willoughby
NERFINISHED
ⓘ
Municipality of Lane Cove NERFINISHED ⓘ North Sydney Council NERFINISHED ⓘ |
| hasEconomicActivity |
education services
ⓘ
health services ⓘ professional services ⓘ retail ⓘ |
| hasEducationalInstitution |
Northern Sydney Institute campus
NERFINISHED
ⓘ
TAFE NSW St Leonards NERFINISHED ⓘ |
| hasFeature |
apartment towers
ⓘ
business district ⓘ commercial offices ⓘ high‑rise buildings ⓘ mixed‑use developments ⓘ transport hub ⓘ |
| hasLandUse |
commercial
ⓘ
residential ⓘ |
| hasPark |
Naremburn Park
NERFINISHED
ⓘ
Newlands Park NERFINISHED ⓘ |
| hasRoadAccess |
Gore Hill Freeway
NERFINISHED
ⓘ
Pacific Highway NERFINISHED ⓘ |
| hasTransport |
St Leonards railway station
NERFINISHED
ⓘ
bus services ⓘ |
| locatedIn |
New South Wales
ⓘ
North Shore NERFINISHED ⓘ Sydney ⓘ |
| near |
Artarmon
NERFINISHED
ⓘ
Crows Nest NERFINISHED ⓘ Greenwich Hospital NERFINISHED ⓘ Lane Cove NERFINISHED ⓘ Naremburn NERFINISHED ⓘ North Shore Private Hospital NERFINISHED ⓘ Royal North Shore Hospital NERFINISHED ⓘ Wollstonecraft NERFINISHED ⓘ |
| partOf |
Lower North Shore
NERFINISHED
ⓘ
Northern Sydney NERFINISHED ⓘ |
| postalCode | 2065 ⓘ |
| railLine | North Shore line NERFINISHED ⓘ |
| region | Greater Sydney NERFINISHED ⓘ |
| stateElectorate | Lane Cove NERFINISHED ⓘ |
| timezone | AEST ⓘ |
| timezoneDST | AEDT 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: St Leonards Description of subject: St Leonards is a suburb on Sydney’s North Shore known for its commercial offices, transport hub, and proximity to major hospitals and educational institutions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.