Triple

T8288657
Position Surface form Disambiguated ID Type / Status
Subject VHD E193841 entity
Predicate usedBy P260 FINISHED
Object Hyper-V E37359 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: Hyper-V | Statement: [VHD, usedBy, Hyper-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyper-V
Context triple: [VHD, usedBy, Hyper-V]
  • A. Hyper-V chosen
    Hyper-V is Microsoft's native hypervisor platform that enables the creation and management of virtual machines on Windows systems.
  • B. Microsoft Virtual Server
    Microsoft Virtual Server is a server virtualization product from Microsoft that allows multiple virtual machines to run on a single physical Windows server.
  • C. 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.
  • D. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • E. System Center Virtual Machine Manager
    System Center Virtual Machine Manager is a Microsoft data center management solution that provides centralized deployment, configuration, and management of virtualized environments, particularly those based on Hyper-V.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c98e15c8190ac2a0b2a5ff834c9 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1ce5a0c881909ee517678cdc4ef2 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 5:52 p.m.