OS OpenData
E545740
OS OpenData is a collection of free, publicly available digital mapping and geographic datasets released by Ordnance Survey for use in analysis, applications, and research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OS OpenData canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5756459 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: OS OpenData Context triple: [Ordnance Survey, product, OS OpenData]
-
A.
Open Data Index
Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
-
B.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
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C.
ONS Open Geography portal
The ONS Open Geography portal is an online platform providing access to official UK geographic data, boundaries, and related statistical geospatial resources published by the Office for National Statistics.
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D.
Open Knowledge Network
Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
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E.
open data movement
The open data movement is a global initiative advocating that data—especially from governments and public institutions—be freely available, accessible, and reusable by anyone to promote transparency, innovation, and civic engagement.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: OS OpenData Target entity description: OS OpenData is a collection of free, publicly available digital mapping and geographic datasets released by Ordnance Survey for use in analysis, applications, and research.
-
A.
Open Data Index
Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
-
B.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
-
C.
ONS Open Geography portal
The ONS Open Geography portal is an online platform providing access to official UK geographic data, boundaries, and related statistical geospatial resources published by the Office for National Statistics.
-
D.
Open Knowledge Network
Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
-
E.
open data movement
The open data movement is a global initiative advocating that data—especially from governments and public institutions—be freely available, accessible, and reusable by anyone to promote transparency, innovation, and civic engagement.
- F. None of above. chosen
Statements (54)
| Predicate | Object |
|---|---|
| instanceOf |
geospatial data product suite
ⓘ
open data initiative ⓘ |
| accessModel | free of charge ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| dataAccess |
access via APIs (for some products)
ⓘ
download from Ordnance Survey website ⓘ |
| dataDomain |
administrative boundaries
ⓘ
digital mapping ⓘ gazetteer data ⓘ geographic information ⓘ imagery ⓘ topography ⓘ transportation networks ⓘ |
| dataFormat |
CSV
ⓘ
GML ⓘ Shapefile ⓘ TIFF ⓘ grid data ⓘ raster data ⓘ vector data ⓘ |
| description | A collection of free, publicly available digital mapping and geographic datasets released by Ordnance Survey for use in analysis, applications, and research. ⓘ |
| hasLanguage | English ⓘ |
| hasPart |
Code-Point Open
NERFINISHED
ⓘ
OS Boundary-Line NERFINISHED ⓘ OS MiniScale NERFINISHED ⓘ OS Open Greenspace NERFINISHED ⓘ OS Open Map – Greenspace NERFINISHED ⓘ OS Open Map – Local NERFINISHED ⓘ OS Open Names NERFINISHED ⓘ OS Open Rivers NERFINISHED ⓘ OS Open Roads NERFINISHED ⓘ OS Open UPRN (where available) NERFINISHED ⓘ OS Open USRN (where available) NERFINISHED ⓘ OS Strategi NERFINISHED ⓘ OS Street View (open raster product) NERFINISHED ⓘ OS Terrain 5 (where released as open) ⓘ OS Terrain 50 NERFINISHED ⓘ OS VectorMap District NERFINISHED ⓘ OS VectorMap Local (open version, where available) NERFINISHED ⓘ |
| intendedUse |
analysis
ⓘ
application development ⓘ commercial use ⓘ education ⓘ public sector use ⓘ research ⓘ |
| license | Open Government Licence NERFINISHED ⓘ |
| operatedBy | Ordnance Survey NERFINISHED ⓘ |
| providerType | national mapping agency ⓘ |
| publisher | Ordnance Survey NERFINISHED ⓘ |
| spatialCoverage |
England
NERFINISHED
ⓘ
Great Britain NERFINISHED ⓘ Scotland NERFINISHED ⓘ Wales NERFINISHED ⓘ |
| startDate | 2010 ⓘ |
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.
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.
Subject: OS OpenData Description of subject: OS OpenData is a collection of free, publicly available digital mapping and geographic datasets released by Ordnance Survey for use in analysis, applications, and research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.