Triple

T3501240
Position Surface form Disambiguated ID Type / Status
Subject Blue Waters E73972 entity
Predicate peakPerformance P23737 FINISHED
Object over 1 petaflop 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: over 1 petaflop | Statement: [Blue Waters, peakPerformance, over 1 petaflop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peakPerformance
Context triple: [Blue Waters, peakPerformance, over 1 petaflop]
  • A. performanceFocus
    Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
  • B. performance chosen
    Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
  • C. performanceTuningBy
    Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by another entity.
  • D. performancePackage
    Indicates that an entity is associated with a specific performance-related bundle or configuration, typically grouping features or enhancements that affect its performance.
  • E. impactOnPerformance
    Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd5fbe8819091b61fa8df355f0c completed March 8, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69adae0cd8b0819099da300af09880da completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.