Triple

T9712325
Position Surface form Disambiguated ID Type / Status
Subject Pluma E235049 entity
Predicate platform P1292 FINISHED
Object Wayland (via MATE support) E59591 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 (via MATE support) | Statement: [Pluma, platform, Wayland (via MATE support)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayland (via MATE support)
Context triple: [Pluma, platform, Wayland (via MATE support)]
  • A. Wayland chosen
    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.
  • B. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • C. XWayland
    XWayland is a compatibility layer that allows traditional X11 applications to run seamlessly within Wayland-based display servers.
  • D. MATE Session Manager
    MATE Session Manager is a core component of the MATE desktop environment responsible for starting, managing, and restoring user sessions on Unix-like systems.
  • E. wlroots
    wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.