Triple

T8413934
Position Surface form Disambiguated ID Type / Status
Subject pSOS E198686 entity
Predicate component P35 FINISHED
Object pSOS kernel E198686 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: pSOS kernel | Statement: [pSOS, component, pSOS kernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: pSOS kernel
Context triple: [pSOS, component, pSOS kernel]
  • A. pSOS chosen
    pSOS is a real-time operating system widely used in embedded systems, particularly for Motorola 68000-based VMEbus applications.
  • B. Mach microkernel
    Mach microkernel is a pioneering microkernel-based operating system kernel developed at Carnegie Mellon University, known for its message-passing architecture and influence on systems like NeXTSTEP and early versions of macOS.
  • C. AROS Research Operating System
    AROS Research Operating System is an open-source, portable reimplementation of the classic AmigaOS designed to run on modern hardware and architectures.
  • D. LynxOS
    LynxOS is a real-time, POSIX-compliant operating system designed for embedded and mission-critical applications, particularly in aerospace, defense, and industrial systems.
  • E. MINIX operating system
    MINIX operating system is a small, Unix-like, microkernel-based operating system originally created for teaching and research that later influenced the design of systems like Linux.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e328cc8190b3b038005d0bb66f completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce032a25ec819094c6346eb2a7f973 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.