Triple

T2408990
Position Surface form Disambiguated ID Type / Status
Subject Linux Foundation E50341 entity
Predicate supportsProject P12986 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: [Linux Foundation, supportsProject, Kubernetes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubernetes
Context triple: [Linux Foundation, supportsProject, 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. Google Kubernetes Engine
    Google Kubernetes Engine is a managed Kubernetes service that lets users deploy, manage, and scale containerized applications on Google Cloud infrastructure.
  • C. 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.
  • D. Docker
    Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
  • E. Knative
    Knative is an open-source Kubernetes-based platform that simplifies building, deploying, and managing serverless and event-driven applications.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc925c6e481909bfd45b361d21963 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3edc63c8190ac6737bf28993f1b completed March 9, 2026, 11:50 a.m.
Created at: March 4, 2026, 7:58 p.m.