Triple

T2629113
Position Surface form Disambiguated ID Type / Status
Subject Wayland E59591 entity
Predicate replaces P101 FINISHED
Object X Window System E59590 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: X Window System | Statement: [Wayland, replaces, X Window System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X Window System
Context triple: [Wayland, replaces, X Window System]
  • A. X11 chosen
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • B. X.Org Server
    X.Org Server is the widely used open-source display server that implements the X Window System (X11) on Unix-like operating systems.
  • C. Xinerama
    Xinerama is an X Window System extension that enables multi-monitor support by combining multiple physical displays into a single large virtual screen.
  • D. XFree86
    XFree86 is an open-source implementation of the X Window System for Unix-like operating systems, historically used to provide graphical user interfaces on many Linux and BSD distributions.
  • E. Desktop Window Manager
    Desktop Window Manager is the compositing window manager in modern Microsoft Windows that handles visual effects, window rendering, and desktop composition using hardware acceleration.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c452508190b02e1630d725497a completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b93a108190b21f4af3e8c16c2b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.