AWS Snowball
E293790
AWS Snowball is a petabyte-scale data transport and edge computing device from Amazon Web Services designed to securely move large amounts of data into and out of the AWS cloud.
All labels observed (5)
| Label | Occurrences |
|---|---|
| AWS Snowball canonical | 4 |
| AWS Snowball Edge | 1 |
| AWS Snowball Edge Compute Optimized | 1 |
| AWS Snowball Edge Compute Optimized with GPU | 1 |
| AWS Snowball Edge Storage Optimized | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2714071 — 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: AWS Snowball Context triple: [Amazon Web Services, offersService, AWS Snowball]
-
A.
Amazon S3
Amazon S3 is a scalable, highly durable cloud object storage service from Amazon Web Services used for storing and retrieving large amounts of data over the internet.
-
B.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
C.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
D.
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.
-
E.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
- 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: AWS Snowball Target entity description: AWS Snowball is a petabyte-scale data transport and edge computing device from Amazon Web Services designed to securely move large amounts of data into and out of the AWS cloud.
-
A.
Amazon S3
Amazon S3 is a scalable, highly durable cloud object storage service from Amazon Web Services used for storing and retrieving large amounts of data over the internet.
-
B.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
C.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
D.
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.
-
E.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
- F. None of above. chosen
Statements (55)
| Predicate | Object |
|---|---|
| instanceOf |
AWS service
ⓘ
data transfer appliance ⓘ edge computing device ⓘ |
| availability | multiple AWS regions ⓘ |
| billingModel |
per-day usage fees for on-site time
ⓘ
per-job pricing ⓘ |
| category |
data migration service
ⓘ
edge and hybrid cloud service ⓘ |
| designedFor |
environments with limited connectivity
ⓘ
secure data transport ⓘ |
| developer | Amazon Web Services ⓘ |
| documentationURL | https://aws.amazon.com/snowball/ ⓘ |
| feature |
E Ink shipping label
ⓘ
data transfer software client ⓘ edge compute capabilities ⓘ encryption of data at rest ⓘ integration with AWS Key Management Service ⓘ local storage for edge workloads ⓘ ruggedized physical appliance ⓘ secure data erasure after ingestion ⓘ tamper-resistant enclosure ⓘ trusted platform module ⓘ |
| hasVariant |
AWS Snowball
self-linksurface differs
ⓘ
surface form:
AWS Snowball Edge Compute Optimized
AWS Snowball self-linksurface differs ⓘ
surface form:
AWS Snowball Edge Compute Optimized with GPU
AWS Snowball self-linksurface differs ⓘ
surface form:
AWS Snowball Edge Storage Optimized
|
| integratesWith |
AWS Identity and Access Management
ⓘ
AWS Key Management Service ⓘ AWS Lambda ⓘ
surface form:
AWS Lambda (for edge computing)
Amazon EBS ⓘ Amazon S3 ⓘ |
| networkAlternativeTo | high-bandwidth network transfer ⓘ |
| owner | Amazon Web Services ⓘ |
| partOf |
AWS Snowmobile
ⓘ
surface form:
AWS Snow Family
Amazon Web Services portfolio ⓘ |
| purpose |
data migration from AWS
ⓘ
data migration to AWS ⓘ edge computing ⓘ offline data transfer ⓘ |
| scale | petabyte-scale ⓘ |
| securityFeature |
256-bit encryption
ⓘ
chain-of-custody tracking ⓘ hardware-based key management ⓘ |
| supports |
bidirectional data movement
ⓘ
data transfer into AWS ⓘ data transfer out of AWS ⓘ |
| supportsUseCase |
IoT data collection
ⓘ
content distribution ⓘ data center migration ⓘ disaster recovery data transfer ⓘ large-scale data transfer ⓘ remote edge processing ⓘ |
| usedFor |
bulk data export from Amazon S3
ⓘ
bulk data import to Amazon S3 ⓘ migrating on-premises datasets to AWS ⓘ transferring data from remote locations without high-bandwidth networks ⓘ |
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: AWS Snowball Description of subject: AWS Snowball is a petabyte-scale data transport and edge computing device from Amazon Web Services designed to securely move large amounts of data into and out of the AWS cloud.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
AWS Snowball Edge Storage Optimized
this entity surface form:
AWS Snowball Edge Compute Optimized
this entity surface form:
AWS Snowball Edge Compute Optimized with GPU
this entity surface form:
AWS Snowball Edge