Triple

T17558856
Position Surface form Disambiguated ID Type / Status
Subject Veritas Volume Manager E427648 entity
Predicate alternativeName P39 FINISHED
Object VxVM NE NERFINISHED

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: VxVM | Statement: [Veritas Volume Manager, alternativeName, VxVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VxVM
Context triple: [Veritas Volume Manager, alternativeName, VxVM]
  • A. VxFS
    VxFS (Veritas File System) is a high-performance, journaling file system developed by Veritas, widely used in enterprise UNIX environments for its scalability and reliability.
  • B. VNX
    VNX is EMC Corporation’s unified storage platform designed to provide scalable, high-performance block and file data storage for enterprise environments.
  • C. VMM
    VMM is the U.S. Marine Corps squadron designation for units operating MV-22B Osprey tiltrotor aircraft in the medium-lift assault support role.
  • D. VMX
    VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
  • E. Veritas Volume Manager (in some versions) chosen
    Veritas Volume Manager is a storage management software product that provides advanced logical volume management, including features like disk virtualization, mirroring, and dynamic resizing for enterprise environments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45624bfe08190991dc088394a5af4 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.