Triple
T17499771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Auto Scaling |
E426158
|
entity |
| Predicate | configurationUnit |
P104470
|
FINISHED |
| Object | Auto Scaling group |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Auto Scaling group | Statement: [AWS Auto Scaling, configurationUnit, Auto Scaling group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auto Scaling group Context triple: [AWS Auto Scaling, configurationUnit, Auto Scaling group]
-
A.
AWS Auto Scaling
AWS Auto Scaling is an Amazon Web Services feature that automatically adjusts the number of compute resources in response to changing application demand to maintain performance and optimize costs.
-
B.
Amazon EC2
Amazon EC2 is a scalable cloud computing service that provides virtual servers (instances) for running applications on Amazon Web Services infrastructure.
-
C.
Amazon Route 53
Amazon Route 53 is a scalable, highly available Domain Name System (DNS) web service from Amazon Web Services that routes end-user requests to internet applications and supports domain registration and health checking.
-
D.
AWS Elastic Load Balancing
AWS Elastic Load Balancing is a cloud service that automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, to improve availability and scalability.
-
E.
Amazon ECS
Amazon ECS is a fully managed container orchestration service that lets users run, scale, and secure Docker containers on AWS infrastructure.
- 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: Auto Scaling group Target entity description: An Auto Scaling group is an AWS construct that manages a collection of EC2 instances as a single logical unit, automatically adjusting their number based on defined scaling policies and health checks.
-
A.
AWS Auto Scaling
chosen
AWS Auto Scaling is an Amazon Web Services feature that automatically adjusts the number of compute resources in response to changing application demand to maintain performance and optimize costs.
-
B.
Amazon EC2
Amazon EC2 is a scalable cloud computing service that provides virtual servers (instances) for running applications on Amazon Web Services infrastructure.
-
C.
Amazon Route 53
Amazon Route 53 is a scalable, highly available Domain Name System (DNS) web service from Amazon Web Services that routes end-user requests to internet applications and supports domain registration and health checking.
-
D.
AWS Elastic Load Balancing
AWS Elastic Load Balancing is a cloud service that automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, to improve availability and scalability.
-
E.
Amazon ECS
Amazon ECS is a fully managed container orchestration service that lets users run, scale, and secure Docker containers on AWS infrastructure.
- F. None of above.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.