Granta Park
E19787
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Granta Park canonical | 5 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
business park
ⓘ
research park ⓘ science park ⓘ |
| developedBy |
MEPC
ⓘ
The Welding Institute ⓘ |
| focusesOn |
biotechnology
ⓘ
high technology ⓘ life sciences ⓘ |
| hasAmenity |
conference facilities
ⓘ
crèche ⓘ cycle paths ⓘ gym ⓘ lake ⓘ landscaped grounds ⓘ restaurant ⓘ shuttle bus services ⓘ sports facilities ⓘ |
| hasFeature |
headquarters buildings
ⓘ
laboratory buildings ⓘ multi-tenant buildings ⓘ office buildings ⓘ research facilities ⓘ |
| hasLandUse |
commercial
ⓘ
laboratory ⓘ office ⓘ research and development ⓘ |
| hasTenant |
Biotech and high-tech companies
ⓘ
Cambridge Crystallographic Data Centre ⓘ CRUK Cambridge Institute ⓘ
surface form:
Cancer Research UK Cambridge Institute
Gilead Sciences (board member) ⓘ
surface form:
Gilead Sciences
Heptares Therapeutics ⓘ Illumina ⓘ Lonza ⓘ MedImmune ⓘ Pace ⓘ Pfizer ⓘ The Welding Institute ⓘ |
| locatedIn |
Cambridgeshire, England
ⓘ
surface form:
Cambridgeshire
England ⓘ Great Abington ⓘ South Cambridgeshire ⓘ United Kingdom ⓘ |
| near |
A11 road
ⓘ
Cambridge, England ⓘ
surface form:
Cambridge
M11 motorway ⓘ |
| ownedBy | The Welding Institute ⓘ |
| partOf | Silicon Fen ⓘ |
| partOfCluster |
Silicon Fen
ⓘ
surface form:
Cambridge high-technology cluster
|
| servedBy | Cambridge railway station ⓘ |
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: Granta Park Description of subject: 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.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.