Triple

T8486683
Position Surface form Disambiguated ID Type / Status
Subject Content-Encoding E200847 entity
Predicate performanceImpact P20527 FINISHED
Object reduces bandwidth at cost of CPU for compression and decompression 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: reduces bandwidth at cost of CPU for compression and decompression | Statement: [Content-Encoding, performanceImpact, reduces bandwidth at cost of CPU for compression and decompression]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performanceImpact
Context triple: [Content-Encoding, performanceImpact, reduces bandwidth at cost of CPU for compression and decompression]
  • A. impactOnPerformance chosen
    Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
  • B. performance
    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. performanceFeature
    Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
  • D. performanceTuningBy
    Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by another entity.
  • E. performanceDependsOn
    Indicates that the quality or outcome of one entity’s performance is contingent upon or influenced by another specified factor or 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.