Triple

T1831902
Position Surface form Disambiguated ID Type / Status
Subject crosvm E40778 entity
Predicate relatedTo P37 FINISHED
Object QEMU E193779 NE FINISHED

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: QEMU | Statement: [crosvm, relatedTo, QEMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QEMU
Context triple: [crosvm, relatedTo, QEMU]
  • 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. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • C. 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.
  • D. QEMU RISC-V target
    QEMU RISC-V target is an emulation backend in the QEMU virtualization platform that allows users to run and test RISC-V software on non-RISC-V host systems.
  • E. Xen
    Xen is an open-source type-1 hypervisor that enables efficient virtualization of multiple operating systems on the same physical hardware.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb022aef48190975b6d12fc6681ad completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6f212c8190b0d182f8486d9e47 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.