Triple

T11957556
Position Surface form Disambiguated ID Type / Status
Subject Mutter E284590 entity
Predicate providesFunctionality P6774 FINISHED
Object Wayland compositor E284594 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: Wayland compositor | Statement: [Mutter, providesFunctionality, Wayland compositor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayland compositor
Context triple: [Mutter, providesFunctionality, Wayland compositor]
  • A. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • B. Wayland
    Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
  • C. XWayland
    XWayland is a compatibility layer that allows traditional X11 applications to run seamlessly within Wayland-based display servers.
  • D. wlroots chosen
    wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
  • E. Chromium (Wayland backend)
    Chromium (Wayland backend) is a build and configuration of the Chromium web browser that uses the Wayland display protocol for native windowing and graphics on Linux systems.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a83c2448190bb40c199afef2ec2 completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:45 p.m.