Triple

T7939092
Position Surface form Disambiguated ID Type / Status
Subject kube-proxy E184348 entity
Predicate watches P79907 FINISHED
Object Kubernetes API server E184343 NE FINISHED

How this triple was built (3 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 API server | Statement: [kube-proxy, watches, Kubernetes API server]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubernetes API server
Context triple: [kube-proxy, watches, Kubernetes API server]
  • A. kube-apiserver chosen
    kube-apiserver is the central Kubernetes control plane service that exposes the cluster’s API, validates and processes requests, and coordinates communication between all other components.
  • B. Kubernetes
    Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
  • C. Kubernetes service
    A Kubernetes service is a managed cloud offering that provides orchestration, deployment, scaling, and management of containerized applications using the open-source Kubernetes platform.
  • D. kubelet
    kubelet is the primary node-level agent in Kubernetes responsible for managing pods and their containers on each worker node.
  • E. kube-scheduler
    kube-scheduler is the Kubernetes control-plane service responsible for assigning newly created pods to suitable nodes based on resource availability, constraints, and scheduling policies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: watches
Context triple: [kube-proxy, watches, Kubernetes API server]
  • A. watchmaking
    Indicates the action or process of designing, assembling, and adjusting watches or timekeeping mechanisms.
  • B. watchesVia
    Indicates that one entity views or consumes content through a particular medium, platform, or device.
  • C. watchMovementType
    Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
  • D. clockShows
    Indicates that a clock displays or presents a particular time or temporal value.
  • E. wears
    Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
  • F. None of above. chosen

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_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_69cc564a4fac8190972f9dfa7c026ea8 completed March 31, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69cae93526d081909303265bf60419fd completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf7882b048190baa333af9f698590 completed March 30, 2026, 10:22 p.m.
Created at: March 30, 2026, 5:08 p.m.