Triple

T17499741
Position Surface form Disambiguated ID Type / Status
Subject AWS Auto Scaling E426158 entity
Predicate supportsResourceType P24486 FINISHED
Object Amazon Custom Resources via Application Auto Scaling
Amazon Custom Resources via Application Auto Scaling is a capability that lets you define and manage your own scalable resources using the Application Auto Scaling service, enabling custom workloads to automatically adjust capacity based on demand.
E293757 NE FINISHED

How this triple was built (4 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: Amazon Custom Resources via Application Auto Scaling | Statement: [AWS Auto Scaling, supportsResourceType, Amazon Custom Resources via Application Auto Scaling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Custom Resources via Application Auto Scaling
Context triple: [AWS Auto Scaling, supportsResourceType, Amazon Custom Resources via Application Auto Scaling]
  • 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. AWS CDK
    AWS CDK (AWS Cloud Development Kit) is an open-source software development framework that lets you define cloud infrastructure in familiar programming languages and synthesize it into AWS CloudFormation templates.
  • C. AWS App Runner
    AWS App Runner is a fully managed service from Amazon Web Services that makes it easy to build, deploy, and run containerized web applications and APIs at scale without managing infrastructure.
  • D. AWS CloudFormation
    AWS CloudFormation is an infrastructure-as-code service that lets users model, provision, and manage AWS and third-party resources using declarative templates.
  • E. AWS App Mesh
    AWS App Mesh is a service mesh that provides application-level networking to standardize and manage communication, observability, and traffic control for microservices running on AWS.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amazon Custom Resources via Application Auto Scaling
Triple: [AWS Auto Scaling, supportsResourceType, Amazon Custom Resources via Application Auto Scaling]
Generated description
Amazon Custom Resources via Application Auto Scaling is a capability that lets you define and manage your own scalable resources using the Application Auto Scaling service, enabling custom workloads to automatically adjust capacity based on demand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amazon Custom Resources via Application Auto Scaling
Target entity description: Amazon Custom Resources via Application Auto Scaling is a capability that lets you define and manage your own scalable resources using the Application Auto Scaling service, enabling custom workloads to automatically adjust capacity based on demand.
  • 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. AWS CDK
    AWS CDK (AWS Cloud Development Kit) is an open-source software development framework that lets you define cloud infrastructure in familiar programming languages and synthesize it into AWS CloudFormation templates.
  • C. AWS App Runner
    AWS App Runner is a fully managed service from Amazon Web Services that makes it easy to build, deploy, and run containerized web applications and APIs at scale without managing infrastructure.
  • D. AWS CloudFormation chosen
    AWS CloudFormation is an infrastructure-as-code service that lets users model, provision, and manage AWS and third-party resources using declarative templates.
  • E. AWS App Mesh
    AWS App Mesh is a service mesh that provides application-level networking to standardize and manage communication, observability, and traffic control for microservices running on AWS.
  • F. None of above.

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a01c2067774819089728021aef5f967 completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c36b06dc81909f52cbe1c57eb128 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.