Triple

T8609004
Position Surface form Disambiguated ID Type / Status
Subject GDM E203872 entity
Predicate category P87 FINISHED
Object GNOME software E203871 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: GNOME software | Statement: [GDM, category, GNOME software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNOME software
Context triple: [GDM, category, GNOME software]
  • A. GNOME Software chosen
    GNOME Software is the graphical application store and software management tool for the GNOME desktop environment, used to browse, install, and update applications.
  • B. GNOME Core Applications
    GNOME Core Applications are the default suite of essential, tightly integrated desktop programs designed to provide a consistent user experience within the GNOME desktop environment.
  • C. Flatpak
    Flatpak is a cross-distribution Linux framework for building, distributing, and running sandboxed desktop applications.
  • D. MATE Control Center
    MATE Control Center is the central configuration utility for the MATE desktop environment, providing a unified interface to manage system and desktop settings.
  • E. GNOME Shell
    GNOME Shell is the core graphical user interface and desktop environment component of the GNOME project, providing the primary user experience on many Linux-based systems.
  • 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_69cea90dd93081908140ac0ce23be820 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.