Triple

T8609968
Position Surface form Disambiguated ID Type / Status
Subject Sabayon Linux E203891 entity
Predicate supports P516 FINISHED
Object LVM E724182 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: LVM | Statement: [Sabayon Linux, supports, LVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LVM
Context triple: [Sabayon Linux, supports, LVM]
  • A. LVM3
    LVM3 is India’s heavy-lift launch vehicle developed by ISRO to carry large communication and deep-space satellites into orbit.
  • B. LVM-Thin chosen
    LVM-Thin is a Linux Logical Volume Manager feature that provides thin-provisioned storage pools, enabling efficient, flexible allocation of disk space for virtual machines and containers.
  • C. Veritas Volume Manager (in some versions)
    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.
  • D. LVS
    LVS is the stock ticker symbol for Las Vegas Sands Corp., a major global developer and operator of casino resorts and integrated entertainment properties.
  • E. LFS
    LFS (Log-structured File System) is a file system design that writes all data sequentially in a log-like structure to optimize write performance and crash recovery, and is implemented in NetBSD.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ee96ac8190809817c403da2889 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea90dd93081908140ac0ce23be820 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.