Triple

T8413941
Position Surface form Disambiguated ID Type / Status
Subject pSOS E198686 entity
Predicate similarTo P4460 FINISHED
Object QNX E341120 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: QNX | Statement: [pSOS, similarTo, QNX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QNX
Context triple: [pSOS, similarTo, QNX]
  • A. QNX chosen
    QNX is a commercial, real-time, microkernel-based operating system widely used in embedded and safety-critical applications such as automotive, industrial, and medical systems.
  • B. LynxOS
    LynxOS is a real-time, POSIX-compliant operating system designed for embedded and mission-critical applications, particularly in aerospace, defense, and industrial systems.
  • C. VxWorks
    VxWorks is a real-time operating system (RTOS) widely used in embedded systems across industries such as aerospace, defense, telecommunications, and industrial automation.
  • D. SINIX
    SINIX is a Unix operating system developed by Siemens as a variant of AT&T's System V for its own hardware platforms.
  • E. RISC OS
    RISC OS is a graphical, ARM-based operating system originally created for Acorn's Archimedes computers, known for its efficiency and distinctive desktop environment.
  • 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.