Triple

T8285768
Position Surface form Disambiguated ID Type / Status
Subject oVirt E193782 entity
Predicate hasComponent P35 FINISHED
Object VDSM
VDSM is a management daemon used by the oVirt virtualization platform to control and monitor virtual machines and host resources.
 E193782 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: VDSM | Statement: [oVirt, hasComponent, VDSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VDSM
Context triple: [oVirt, hasComponent, VDSM]
  • A. oVirt
    oVirt is an open-source virtualization management platform that provides enterprise-grade management of virtual machines, hosts, storage, and networks.
  • B. Libvirt
    Libvirt is an open-source API, daemon, and management tool for managing platform virtualization technologies such as KVM, QEMU, and Xen.
  • C. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • D. VMware ESXi
    VMware ESXi is a bare-metal hypervisor from VMware that enables virtualization by running multiple virtual machines directly on server hardware without a traditional underlying operating system.
  • E. VM
    VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
  • 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: VDSM
Triple: [oVirt, hasComponent, VDSM]
Generated description
VDSM is a management daemon used by the oVirt virtualization platform to control and monitor virtual machines and host resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VDSM
Target entity description: VDSM is a management daemon used by the oVirt virtualization platform to control and monitor virtual machines and host resources.
  • A. oVirt chosen
    oVirt is an open-source virtualization management platform that provides enterprise-grade management of virtual machines, hosts, storage, and networks.
  • B. Libvirt
    Libvirt is an open-source API, daemon, and management tool for managing platform virtualization technologies such as KVM, QEMU, and Xen.
  • C. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • D. VMware ESXi
    VMware ESXi is a bare-metal hypervisor from VMware that enables virtualization by running multiple virtual machines directly on server hardware without a traditional underlying operating system.
  • E. VM
    VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
  • F. None of above.

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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd688441908190b6b0a39dfb9d87ac completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.