Triple

T22444699
Position Surface form Disambiguated ID Type / Status
Subject SmartOS E554834 entity
Predicate includesComponent P1393 FINISHED
Object KVM hypervisor 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: KVM hypervisor | Statement: [SmartOS, includesComponent, KVM hypervisor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVM hypervisor
Context triple: [SmartOS, includesComponent, KVM hypervisor]
  • A. PowerKVM
    PowerKVM is IBM’s KVM-based virtualization solution tailored for IBM Power Systems servers, enabling Linux-based virtual machine management and consolidation.
  • B. KVM chosen
    KVM (Kernel-based Virtual Machine) is a Linux kernel module that turns the kernel into a hypervisor, enabling hardware-assisted virtualization of multiple virtual machines.
  • C. KVM
    KVM is the commonly used abbreviation for KV Mechelen, a professional football club based in Mechelen, Belgium.
  • D. QEMU
    QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
  • E. Hypervisor framework
    Hypervisor framework is Apple’s low-level virtualization API on macOS that lets developers create and manage virtual machines and run guest operating systems efficiently on Apple hardware.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae517208190924a7968723f55ef completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.