Triple

T6408956
Position Surface form Disambiguated ID Type / Status
Subject NetBSD E127657 entity
Predicate hasComponent P35 FINISHED
Object NetBSD kernel E127657 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: NetBSD kernel | Statement: [NetBSD, hasComponent, NetBSD kernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NetBSD kernel
Context triple: [NetBSD, hasComponent, 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. OpenBSD
    OpenBSD is a free, security-focused, Unix-like operating system known for its code correctness, proactive security features, and integrated cryptographic tools.
  • C. 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.
  • D. XNU
    XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
  • E. Linux kernel
    The Linux kernel is the core open-source component of the Linux operating system, managing hardware resources and providing essential services for user applications.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cdf25881908d42a5d979637ad6 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b38c888190aa2433173db64c90 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.