Triple

T370923
Position Surface form Disambiguated ID Type / Status
Subject iOS E8266 entity
Predicate kernel P5103 FINISHED
Object XNU E41424 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: XNU | Statement: [iOS, kernel, XNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XNU
Context triple: [iOS, kernel, XNU]
  • A. XNU chosen
    XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
  • B. Mac OS X 10.0 Cheetah
    Mac OS X 10.0 Cheetah is the first major release of Apple's Mac OS X operating system, notable for debuting the modern, visually rich user interface that replaced the classic Mac OS.
  • C. HFS Plus
    HFS Plus is a proprietary journaling file system developed by Apple for use in macOS and earlier Macintosh operating systems, succeeding the original HFS to support larger files and volumes.
  • D. AIX
    AIX is IBM’s proprietary Unix operating system designed for enterprise servers and high-reliability, scalable computing environments.
  • E. USBOS
    USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee2b0ec481908fac41a4e1d20468 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ecac7e048190a76c02c738599c61 completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.