Triple

T8608659
Position Surface form Disambiguated ID Type / Status
Subject GTK E203866 entity
Predicate fullName P16 FINISHED
Object GIMP Toolkit E203866 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: GIMP Toolkit | Statement: [GTK, fullName, GIMP Toolkit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GIMP Toolkit
Context triple: [GTK, fullName, GIMP Toolkit]
  • A. GTK chosen
    GTK is a widely used open-source toolkit for creating graphical user interfaces, best known for powering applications in the GNOME desktop environment.
  • B. GTK (for graphical interface)
    GTK is a widely used open-source toolkit for creating graphical user interfaces, particularly on Linux and other Unix-like operating systems.
  • C. Pango
    Pango is a coastal village on the island of Efate in Vanuatu, known for its traditional communities and proximity to the capital, Port Vila.
  • D. WebKitGTK
    WebKitGTK is the GTK-based port of the WebKit browser engine used to embed modern web content in Linux and other GTK applications.
  • E. Gluon GUI
    Gluon GUI is a graphical user interface client for Plastic SCM that provides an easy, visual way to manage version control tasks.
  • 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_69cc46ed77588190a872d22d9d1f7429 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea909757c819095dd38644c21af33 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.