Triple

T9712697
Position Surface form Disambiguated ID Type / Status
Subject Ubuntu MATE E235057 entity
Predicate includes P1393 FINISHED
Object Eye of MATE image viewer E235051 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: Eye of MATE image viewer | Statement: [Ubuntu MATE, includes, Eye of MATE image viewer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eye of MATE image viewer
Context triple: [Ubuntu MATE, includes, Eye of MATE image viewer]
  • A. Eye of MATE image viewer chosen
    Eye of MATE image viewer is the default lightweight image viewing application for the MATE desktop environment, designed for simple browsing and viewing of image files.
  • B. Gwenview image viewer
    Gwenview image viewer is a fast, user-friendly image viewing and basic editing application designed for the KDE desktop environment.
  • C. GNOME Image Viewer
    GNOME Image Viewer is the default lightweight image viewing application for the GNOME desktop environment, designed for simple browsing and basic manipulation of image files.
  • D. MATE Screensaver
    MATE Screensaver is the screen-saving and screen-locking utility designed for the MATE desktop environment on Unix-like operating systems.
  • E. ImageWorks
    ImageWorks is an interactive, hands-on exhibit area at Epcot where guests explore creativity and imagination through playful digital and sensory experiences.
  • 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.