Triple

T7939964
Position Surface form Disambiguated ID Type / Status
Subject Amazon Elastic Kubernetes Service E184364 entity
Predicate integratesWith P1075 FINISHED
Object AWS Fargate E293755 NE FINISHED

How this triple was built (2 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: AWS Fargate | Statement: [Amazon Elastic Kubernetes Service, integratesWith, AWS Fargate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AWS Fargate
Context triple: [Amazon Elastic Kubernetes Service, integratesWith, AWS Fargate]
  • A. AWS Fargate chosen
    AWS Fargate is a serverless compute engine for containers that lets users run Docker-based applications on AWS without managing underlying servers or clusters.
  • B. Amazon ECS
    Amazon ECS is a fully managed container orchestration service that lets users run, scale, and secure Docker containers on AWS infrastructure.
  • C. Amazon Elastic Kubernetes Service
    Amazon Elastic Kubernetes Service (Amazon EKS) is a cloud-based, fully managed service from AWS for running and scaling containerized applications using Kubernetes.
  • D. AWS Lambda
    AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
  • E. ECS
    ECS (Entity Component System) is a data-driven architectural pattern commonly used in game engines to organize game logic by separating data (components) from behavior (systems) and grouping them around entities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0983388190a77e8d5d899c5130 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0e868481908748d340244ea8ea completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.