AWS re:Invent 2018
E745847
AWS re:Invent 2018 was Amazon Web Services’ annual cloud computing conference held in 2018, featuring major product launches, technical sessions, and keynotes for developers and IT professionals.
All labels observed (2)
| Label | Occurrences |
|---|---|
| AWS re:Invent 2018 canonical | 2 |
| AWS re:Invent | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8610445 — 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 re:Invent 2018 Context triple: [Firecracker, announcedAt, AWS re:Invent 2018]
-
A.
AWS Snowmobile
AWS Snowmobile is a massive data transfer service that uses secure, truck-sized storage containers to physically move extremely large volumes of data into the AWS cloud.
-
B.
Amazon EventBridge
Amazon EventBridge is a serverless event bus service from AWS that enables applications to connect using events from AWS services, integrated SaaS applications, and custom sources for event-driven architectures.
-
C.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
D.
KubeCon + CloudNativeCon
KubeCon + CloudNativeCon is a major global conference series focused on Kubernetes and cloud native technologies, bringing together developers, end users, and industry leaders to collaborate and share knowledge.
-
E.
Amazon Aurora
Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
- 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 re:Invent 2018 Target entity description: AWS re:Invent 2018 was Amazon Web Services’ annual cloud computing conference held in 2018, featuring major product launches, technical sessions, and keynotes for developers and IT professionals.
-
A.
AWS Snowmobile
AWS Snowmobile is a massive data transfer service that uses secure, truck-sized storage containers to physically move extremely large volumes of data into the AWS cloud.
-
B.
Amazon EventBridge
Amazon EventBridge is a serverless event bus service from AWS that enables applications to connect using events from AWS services, integrated SaaS applications, and custom sources for event-driven architectures.
-
C.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
D.
KubeCon + CloudNativeCon
KubeCon + CloudNativeCon is a major global conference series focused on Kubernetes and cloud native technologies, bringing together developers, end users, and industry leaders to collaborate and share knowledge.
-
E.
Amazon Aurora
Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
AWS re:Invent
ⓘ
technology conference ⓘ |
| announced |
AWS App Mesh
ⓘ
AWS Control Tower ⓘ AWS Global Accelerator ⓘ
linked to:
Amazon Global Accelerator
AWS Ground Station ⓘ AWS Inferentia ⓘ AWS Lake Formation ⓘ AWS Marketplace for Containers ⓘ
linked to:
AWS Marketplace
AWS Outposts ⓘ AWS Security Hub ⓘ AWS Transit Gateway ⓘ AWS Well-Architected Tool ⓘ Amazon DynamoDB Global Tables (expansion) ⓘ
linked to:
Amazon DynamoDB
Amazon DynamoDB On-Demand ⓘ
linked to:
Amazon DynamoDB
Amazon FSx for Lustre ⓘ
linked to:
Amazon FSx
Amazon FSx for Windows File Server ⓘ
linked to:
Amazon FSx
Amazon Managed Blockchain ⓘ Amazon SageMaker Ground Truth ⓘ
linked to:
Amazon SageMaker
Amazon SageMaker RL ⓘ
linked to:
Amazon SageMaker
Amazon Timestream ⓘ |
| city |
Las Vegas
ⓘ
linked to:
Las Vegas, Nevada
|
| country |
United States
ⓘ
linked to:
United States of America
|
| endDate | 2018-11-30 ⓘ |
| hasPart |
bootcamps
ⓘ
expo hall ⓘ hands-on labs ⓘ keynote sessions ⓘ partner sessions ⓘ technical sessions ⓘ workshops ⓘ |
| keynoteSpeaker |
Andy Jassy
ⓘ
Peter DeSantis ⓘ Werner Vogels ⓘ |
| location |
Las Vegas, Nevada, United States
ⓘ
linked to:
Las Vegas, Nevada
|
| mainLanguage | English ⓘ |
| nextEvent | AWS re:Invent 2019 ⓘ |
| organizer | Amazon Web Services ⓘ |
| partOfSeries |
AWS re:Invent
ⓘ
linked to:
AWS re:Invent 2018
|
| previousEvent |
AWS re:Invent 2017
ⓘ
linked to:
Amazon Web Services re:Invent 2017
|
| startDate | 2018-11-26 ⓘ |
| targetAudience |
IT professionals
ⓘ
cloud architects ⓘ developers ⓘ |
| theme |
cloud computing
ⓘ
containers ⓘ data analytics ⓘ machine learning ⓘ security ⓘ serverless computing ⓘ |
| year | 2018 ⓘ |
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 re:Invent 2018 Description of subject: AWS re:Invent 2018 was Amazon Web Services’ annual cloud computing conference held in 2018, featuring major product launches, technical sessions, and keynotes for developers and IT professionals.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: AWS re:Invent 2018