Triple

T23313255
Position Surface form Disambiguated ID Type / Status
Subject LFS E590636 entity
Predicate associatedWith P37 FINISHED
Object NetBSD kernel 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: NetBSD kernel | Statement: [LFS, associatedWith, NetBSD kernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NetBSD kernel
Context triple: [LFS, associatedWith, NetBSD kernel]
  • A. NetBSD chosen
    NetBSD is a free, open-source, Unix-like operating system known for its portability and clean design, supporting a wide range of hardware platforms.
  • B. NVMM (NetBSD Virtual Machine Monitor)
    NVMM (NetBSD Virtual Machine Monitor) is a lightweight, in-kernel hypervisor framework for NetBSD that enables hardware-accelerated virtualization of guest operating systems.
  • C. OpenBSD
    OpenBSD is a free, security-focused, Unix-like operating system known for its code correctness, proactive security features, and integrated cryptographic tools.
  • D. NetBSD/mac68k
    NetBSD/mac68k is a port of the NetBSD operating system designed to run on Apple Macintosh computers based on Motorola 680x0 (68k) processors.
  • E. XNU
    XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972ca70481909e2415c65964210a completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:06 p.m.