Triple

T9712726
Position Surface form Disambiguated ID Type / Status
Subject GhostBSD E235058 entity
Predicate supportedUserInterface P48616 FINISHED
Object Xfce E192873 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: Xfce | Statement: [GhostBSD, supportedUserInterface, Xfce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xfce
Context triple: [GhostBSD, supportedUserInterface, Xfce]
  • A. Xfce chosen
    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. Fluxbox
    Fluxbox is a lightweight, highly configurable stacking window manager for the X Window System, known for its speed and minimal resource usage.
  • C. Openbox
    Openbox is a lightweight, highly configurable stacking window manager for the X Window System, often used in minimal or performance-focused Linux desktop setups.
  • D. LXDE
    LXDE is a lightweight, fast, and energy-efficient desktop environment for Unix-like operating systems, designed to run well on low-resource hardware.
  • E. LXQt desktop environment
    LXQt desktop environment is a lightweight, modular, and Qt-based graphical desktop environment designed to be fast and resource-efficient, particularly suitable for older or low-spec hardware.
  • 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.