Triple

T4279698
Position Surface form Disambiguated ID Type / Status
Subject Vertex AI E97118 entity
Predicate integratesWith P1075 FINISHED
Object Kubernetes Engine E184208 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 Engine | Statement: [Vertex AI, integratesWith, Kubernetes Engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubernetes Engine
Context triple: [Vertex AI, integratesWith, Kubernetes Engine]
  • A. Google Kubernetes Engine chosen
    Google Kubernetes Engine is a managed Kubernetes service that lets users deploy, manage, and scale containerized applications on Google Cloud infrastructure.
  • B. 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.
  • C. Kubernetes
    Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
  • D. Google Compute Engine
    Google Compute Engine is Google Cloud’s infrastructure-as-a-service offering that provides scalable, customizable virtual machines for running workloads in the cloud.
  • E. Cloud Run
    Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7237b608190ab5aca56027344c4 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.