Triple

T8248019
Position Surface form Disambiguated ID Type / Status
Subject linux-zen E192894 entity
Predicate usesConfiguration P13644 FINISHED
Object more aggressive kernel defaults for responsiveness 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: more aggressive kernel defaults for responsiveness | Statement: [linux-zen, usesConfiguration, more aggressive kernel defaults for responsiveness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesConfiguration
Context triple: [linux-zen, usesConfiguration, more aggressive kernel defaults for responsiveness]
  • A. hasConfiguration chosen
    Indicates that an entity is associated with or defined by a particular configuration or setup.
  • B. requiresConfiguration
    Indicates that one entity depends on another to be set up or configured before it can function or be used.
  • C. appliesToConfiguration
    Indicates that something (such as a rule, setting, or operation) is relevant to, affects, or is intended for a particular configuration.
  • D. configurationAvailable
    Indicates that a specific configuration option or setup is present and can be used or applied in the given context.
  • E. usesDevice
    Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69cb36b437e881909958591357e83b9d completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:48 p.m.