Triple

T8609249
Position Surface form Disambiguated ID Type / Status
Subject Flatpak E203877 entity
Predicate commandLineInterface P1594 FINISHED
Object flatpak E203877 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: flatpak | Statement: [Flatpak, commandLineInterface, flatpak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: flatpak
Context triple: [Flatpak, commandLineInterface, flatpak]
  • A. Flatpak chosen
    Flatpak is a cross-distribution Linux framework for building, distributing, and running sandboxed desktop applications.
  • B. Flathub
    Flathub is a central repository and distribution platform for Flatpak applications on Linux, providing a wide catalog of desktop software from various developers.
  • C. flatpak-builder
    flatpak-builder is a command-line tool used to build and package applications into Flatpak bundles from manifest files in a reproducible way.
  • D. GNOME Software
    GNOME Software is the graphical application store and software management tool for the GNOME desktop environment, used to browse, install, and update applications.
  • E. Fedora Silverblue
    Fedora Silverblue is an immutable, desktop-focused variant of Fedora Linux that delivers a stable, container-friendly operating system image designed for reliability and easy rollbacks.
  • 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_69cebbb9307c81909b31995c73728e91 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:25 p.m.