Triple

T8285611
Position Surface form Disambiguated ID Type / Status
Subject QEMU E193779 entity
Predicate hasComponent P35 FINISHED
Object qemu-img
qemu-img is a QEMU command-line utility used to create, convert, and manage virtual machine disk image files in various formats.
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-img | Statement: [QEMU, hasComponent, qemu-img]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: qemu-img
Context triple: [QEMU, hasComponent, qemu-img]
  • A. QEMU
    QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
  • B. VMDK
    VMDK is a virtual disk file format originally developed by VMware for storing the contents and structure of virtual machine hard drives.
  • C. VHDX
    VHDX is a modern virtual hard disk file format developed by Microsoft that offers larger capacity, improved reliability, and better performance than the older VHD format, primarily for use with Hyper-V virtual machines.
  • D. Libvirt
    Libvirt is an open-source API, daemon, and management tool for managing platform virtualization technologies such as KVM, QEMU, and Xen.
  • E. Open Virtualization Format
    Open Virtualization Format is an open standard for packaging and distributing virtual appliances and virtual machines across different virtualization platforms.
  • 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-img
Triple: [QEMU, hasComponent, qemu-img]
Generated description
qemu-img is a QEMU command-line utility used to create, convert, and manage virtual machine disk image files in various formats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: qemu-img
Target entity description: qemu-img is a QEMU command-line utility used to create, convert, and manage virtual machine disk image files in various formats.
  • A. QEMU chosen
    QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
  • B. VMDK
    VMDK is a virtual disk file format originally developed by VMware for storing the contents and structure of virtual machine hard drives.
  • C. VHDX
    VHDX is a modern virtual hard disk file format developed by Microsoft that offers larger capacity, improved reliability, and better performance than the older VHD format, primarily for use with Hyper-V virtual machines.
  • D. Libvirt
    Libvirt is an open-source API, daemon, and management tool for managing platform virtualization technologies such as KVM, QEMU, and Xen.
  • E. Open Virtualization Format
    Open Virtualization Format is an open standard for packaging and distributing virtual appliances and virtual machines across different virtualization platforms.
  • 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.