Amazon Web Services Open Data
E399063
Amazon Web Services Open Data is a program that hosts and freely provides access to large, publicly available datasets—such as satellite imagery, genomics, and climate data—on AWS cloud infrastructure for research, innovation, and application development.
All labels observed (5)
| Label | Occurrences |
|---|---|
| AWS Open Data | 1 |
| AWS Open Data Sponsorship Program | 1 |
| AWS Public Dataset Program | 1 |
| AWS Public Datasets | 1 |
| Amazon Web Services Open Data canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3918667 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Web Services Open Data Context triple: [Landsat satellites, dataDistributedVia, Amazon Web Services Open Data]
-
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.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
D.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
E.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amazon Web Services Open Data Target entity description: Amazon Web Services Open Data is a program that hosts and freely provides access to large, publicly available datasets—such as satellite imagery, genomics, and climate data—on AWS cloud infrastructure for research, innovation, and application development.
-
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.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
D.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
E.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
- F. None of above. chosen
Statements (54)
| Predicate | Object |
|---|---|
| instanceOf |
AWS program
ⓘ
cloud-based data hosting program ⓘ data sharing initiative ⓘ open data program ⓘ |
| accessModel |
freely accessible
ⓘ
publicly available ⓘ |
| costToAccessData |
free
ⓘ
no charge for data access ⓘ |
| dataProvider |
government agencies
ⓘ
non-profit organizations ⓘ private sector organizations ⓘ research institutions ⓘ universities ⓘ |
| dataTypeHosted |
climate data
ⓘ
demographic data ⓘ earth observation data ⓘ environmental data ⓘ genomics data ⓘ geospatial data ⓘ machine learning training datasets ⓘ satellite imagery ⓘ scientific research datasets ⓘ transportation data ⓘ weather data ⓘ |
| feature |
documentation and example use cases for datasets
ⓘ
high-bandwidth access to data within AWS ⓘ large-scale datasets hosted close to compute resources ⓘ searchable catalog of public datasets ⓘ standard AWS APIs for data access ⓘ |
| goal |
to encourage development of new applications and services
ⓘ
to make large public datasets easily accessible ⓘ to reduce the cost of working with large public datasets ⓘ to support research and innovation ⓘ |
| hostPlatform |
AWS infrastructure
ⓘ
Amazon Web Services ⓘ
surface form:
Amazon Web Services cloud
|
| operator | Amazon Web Services ⓘ |
| primaryServiceUsed |
Amazon Web Services Open Data
self-linksurface differs
ⓘ
surface form:
AWS Public Datasets
Amazon S3 ⓘ |
| relatedConcept |
cloud computing
ⓘ
data commons ⓘ open data ⓘ research data infrastructure ⓘ |
| relatedProgram |
Amazon Web Services Open Data
self-linksurface differs
ⓘ
surface form:
AWS Public Dataset Program
|
| shortName |
Amazon Web Services Open Data
self-linksurface differs
ⓘ
surface form:
AWS Open Data
|
| supportsUseCase |
academic research
ⓘ
climate and environmental modeling ⓘ commercial application development ⓘ data analytics ⓘ machine learning model training ⓘ public sector innovation ⓘ visualization and mapping ⓘ |
| userPaysFor |
compute used to process data
ⓘ
storage for derived data products ⓘ |
| website | https://aws.amazon.com/opendata/ ⓘ |
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: Amazon Web Services Open Data Description of subject: Amazon Web Services Open Data is a program that hosts and freely provides access to large, publicly available datasets—such as satellite imagery, genomics, and climate data—on AWS cloud infrastructure for research, innovation, and application development.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
AWS Open Data Sponsorship Program
Amazon Web Services Open Data
→
shortName
→
Amazon Web Services Open Data
self-linksurface differs
ⓘ
this entity surface form:
AWS Open Data
Amazon Web Services Open Data
→
primaryServiceUsed
→
Amazon Web Services Open Data
self-linksurface differs
ⓘ
this entity surface form:
AWS Public Datasets
Amazon Web Services Open Data
→
relatedProgram
→
Amazon Web Services Open Data
self-linksurface differs
ⓘ
this entity surface form:
AWS Public Dataset Program