Triple

T29406193
Position Surface form Disambiguated ID Type / Status
Subject GNOME Archive Manager E745781 entity
Predicate supportsCommandLineBackends P174393 FINISHED
Object yes LITERAL 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: yes | Statement: [GNOME Archive Manager, supportsCommandLineBackends, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCommandLineBackends
Context triple: [GNOME Archive Manager, supportsCommandLineBackends, yes]
  • A. supportsCommand
    Indicates that one entity is capable of recognizing, accepting, or executing a specified command associated with another entity.
  • B. usesBackendTools chosen
    Indicates that one entity relies on or operates tools, systems, or services that function on the backend to perform its tasks or provide its functionality.
  • C. hasCommandLineInterface
    Indicates that an entity provides or supports interaction through a command-line interface (CLI).
  • D. hasBackend
    Indicates that one entity functions as the backend or server-side component that supports or powers another entity.
  • E. hasCommandSystem
    Indicates that one entity possesses, uses, or is associated with a particular command or control system.
  • F. None of above.

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_69f0a79eb7d081908c67197a5f347e68 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 28, 2026, 2:54 p.m.