Triple

T1719647
Position Surface form Disambiguated ID Type / Status
Subject Windows Sandbox E37360 entity
Predicate usesTechnology P1485 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: [Windows Sandbox, usesTechnology, Hyper-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyper-V
Context triple: [Windows Sandbox, usesTechnology, 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. VirtualBox
    VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
  • C. 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.
  • D. VMX
    VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
  • E. VMware
    VMware is a leading American cloud computing and virtualization technology company known for its pioneering hypervisor and software-defined data center solutions.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633934a4819083f2929da03453a8 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d58cd08190bdda9f03ca458081 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.