Triple

T11100679
Position Surface form Disambiguated ID Type / Status
Subject Crusoe E262493 entity
Predicate powerManagementTechnique P11923 FINISHED
Object dynamic frequency scaling 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: dynamic frequency scaling | Statement: [Crusoe, powerManagementTechnique, dynamic frequency scaling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerManagementTechnique
Context triple: [Crusoe, powerManagementTechnique, dynamic frequency scaling]
  • A. powerOptimizationFor
    Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
  • B. powerOptimized
    Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
  • C. powerOption
    Indicates that one entity provides or specifies a particular power-related configuration or choice available to another entity.
  • D. maintainsPowerThrough
    Indicates that one entity preserves or secures its authority, control, or dominance by means of another entity or specified mechanism.
  • E. hasEnergyManagement chosen
    Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a29ee6c819092bc0da3f9255389 completed April 9, 2026, 12:23 p.m.
PD Predicate disambiguation batch_69d7441aa3548190b92dbde57841c135 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.