Triple

T1846355
Position Surface form Disambiguated ID Type / Status
Subject LXQt E41291 entity
Predicate supportsWindowManager P31211 FINISHED
Object Xfwm4
Xfwm4 is the lightweight, compositing window manager used by the Xfce desktop environment on Unix-like systems.
E206061 NE FINISHED

How this triple was built (4 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: Xfwm4 | Statement: [LXQt, supportsWindowManager, Xfwm4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xfwm4
Context triple: [LXQt, supportsWindowManager, Xfwm4]
  • A. Xfce
    Xfce is a lightweight, fast, and modular desktop environment for Unix-like operating systems, designed to be visually appealing while using minimal system resources.
  • B. 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.
  • C. X11
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • D. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xfwm4
Triple: [LXQt, supportsWindowManager, Xfwm4]
Generated description
Xfwm4 is the lightweight, compositing window manager used by the Xfce desktop environment on Unix-like systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xfwm4
Target entity description: Xfwm4 is the lightweight, compositing window manager used by the Xfce desktop environment on Unix-like systems.
  • A. Xfce
    Xfce is a lightweight, fast, and modular desktop environment for Unix-like operating systems, designed to be visually appealing while using minimal system resources.
  • B. 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.
  • C. X11
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • D. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c2354081909ee4da7669932796 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c2e0a081909f521e6f73956239 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf1917c819090eac27de62494ca completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbba64588190aa0ebd2b6f67afa7 completed March 8, 2026, 7:19 p.m.
Created at: March 4, 2026, 7:33 p.m.