Triple

T8609996
Position Surface form Disambiguated ID Type / Status
Subject Calculate Linux E203892 entity
Predicate hasEdition P35 FINISHED
Object LXQt edition E41291 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: LXQt edition | Statement: [Calculate Linux, hasEdition, LXQt edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LXQt edition
Context triple: [Calculate Linux, hasEdition, LXQt edition]
  • A. LXQt desktop environment chosen
    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.
  • B. LXDE
    LXDE is a lightweight, fast, and energy-efficient desktop environment for Unix-like operating systems, designed to run well on low-resource hardware.
  • C. KDE neon
    KDE neon is a Linux distribution that showcases the latest KDE Plasma desktop and applications on a stable Ubuntu LTS base.
  • D. Lubuntu
    Lubuntu is a lightweight, energy-efficient Linux distribution that uses the LXQt desktop environment and is designed to run well on older or low-spec hardware.
  • E. 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.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ee96ac8190809817c403da2889 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbb9307c81909b31995c73728e91 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:25 p.m.