Triple

T7939654
Position Surface form Disambiguated ID Type / Status
Subject Helm E184358 entity
Predicate supportsOrchestrator P58238 FINISHED
Object Kubernetes E35369 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: Kubernetes | Statement: [Helm, supportsOrchestrator, Kubernetes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubernetes
Context triple: [Helm, supportsOrchestrator, Kubernetes]
  • A. Kubernetes chosen
    Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
  • B. Alibaba Cloud Container Service for Kubernetes
    Alibaba Cloud Container Service for Kubernetes is a managed Kubernetes platform that simplifies deploying, scaling, and operating containerized applications on Alibaba Cloud infrastructure.
  • C. Google Kubernetes Engine
    Google Kubernetes Engine is a managed Kubernetes service that lets users deploy, manage, and scale containerized applications on Google Cloud infrastructure.
  • D. Azure Kubernetes Service
    Azure Kubernetes Service is a managed container orchestration platform that simplifies deploying, scaling, and operating Kubernetes clusters in the Microsoft Azure cloud.
  • E. Docker
    Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
  • 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_69cecc0d1e148190a6c5043e681ee136 completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:08 p.m.