Triple

T19508920
Position Surface form Disambiguated ID Type / Status
Subject vCenter Server E488096 entity
Predicate enables P273 FINISHED
Object vMotion NE NERFINISHED

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: vMotion | Statement: [vCenter Server, enables, vMotion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: vMotion
Context triple: [vCenter Server, enables, vMotion]
  • A. VMware vMotion chosen
    VMware vMotion is a VMware technology that enables live migration of running virtual machines between physical hosts with no downtime.
  • B. vSphere Storage vMotion
    vSphere Storage vMotion is a VMware vSphere feature that enables live migration of a virtual machine’s disk files between datastores without downtime.
  • C. vSphere Replication
    vSphere Replication is VMware’s hypervisor-based data replication solution that provides asynchronous, per-VM disaster recovery and protection for virtual machines in vSphere environments.
  • D. VMkernel
    VMkernel is the specialized operating system core in VMware ESXi that manages hardware resources and runs virtual machines.
  • E. VMware Fault Tolerance
    VMware Fault Tolerance is a high-availability feature that provides continuous, zero-downtime protection for virtual machines by running a live shadow instance that can instantly take over if the primary fails.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351426448190aec1ee26c09faa24 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.