Triple

T9097269
Position Surface form Disambiguated ID Type / Status
Subject KDE Applications E218058 entity
Predicate includes P1393 FINISHED
Object Gwenview E772962 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: Gwenview | Statement: [KDE Applications, includes, Gwenview]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwenview
Context triple: [KDE Applications, includes, Gwenview]
  • A. Gwenview image viewer chosen
    Gwenview image viewer is a fast, user-friendly image viewing and basic editing application designed for the KDE desktop environment.
  • B. 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.
  • C. GIMP
    GIMP is a free, open-source raster graphics editor widely used for tasks such as photo retouching, image composition, and image authoring.
  • D. Shotwell
    Shotwell is a lesser-known punk rock band associated with the Bay Area punk scene, notable for having zine writer and musician Aaron Cometbus as a member.
  • E. Eye of MATE image viewer
    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.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.