Triple

T8220596
Position Surface form Disambiguated ID Type / Status
Subject ReadyBoost E192047 entity
Predicate lessEffectiveOn P24324 FINISHED
Object systems with SSDs 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: systems with SSDs | Statement: [ReadyBoost, lessEffectiveOn, systems with SSDs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lessEffectiveOn
Context triple: [ReadyBoost, lessEffectiveOn, systems with SSDs]
  • A. lessEffectiveAt
    Indicates that one entity has a reduced ability or lower level of success in performing, influencing, or achieving a particular action or outcome compared to another.
  • B. effectiveFor
    Indicates that one entity successfully produces the intended effect, benefit, or desired outcome for another entity or condition.
  • C. lessFocusOn
    Indicates that one entity directs reduced attention, emphasis, or priority toward another entity or activity compared to alternatives.
  • D. reasonForIneffectiveness
    Indicates that one entity specifies the cause or explanation for why another entity is ineffective or fails to achieve its intended effect.
  • E. weakerThan chosen
    Indicates that one entity has less strength, power, or effectiveness than another entity.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77c782a8819086019ab6bac05749 completed March 31, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69cb36af41e081909dee92b9bc4947f1 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:45 p.m.