Triple

T1718487
Position Surface form Disambiguated ID Type / Status
Subject KVM E37340 entity
Predicate uses P98 FINISHED
Object QEMU
QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
 E193779 NE FINISHED

How this triple was built (4 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: QEMU | Statement: [KVM, uses, QEMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QEMU
Context triple: [KVM, uses, QEMU]
  • A. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • B. KVM
    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. Xen
    Xen is an open-source type-1 hypervisor that enables efficient virtualization of multiple operating systems on the same physical hardware.
  • D. VMX
    VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
  • E. Hyper-V
    Hyper-V is Microsoft's native hypervisor platform that enables the creation and management of virtual machines on Windows systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: QEMU
Triple: [KVM, uses, QEMU]
Generated description
QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QEMU
Target entity description: QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
  • A. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • B. KVM
    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. Xen
    Xen is an open-source type-1 hypervisor that enables efficient virtualization of multiple operating systems on the same physical hardware.
  • D. VMX
    VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
  • E. Hyper-V
    Hyper-V is Microsoft's native hypervisor platform that enables the creation and management of virtual machines on Windows systems.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6337d8408190bdba8b50652d50ae completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae6940c81909c1ebdfb0cdef5fc completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.