Triple

T16180297
Position Surface form Disambiguated ID Type / Status
Subject Type S E392665 entity
Predicate emphasisComparedToA-Spec P103469 FINISHED
Object greater performance enhancements 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: greater performance enhancements | Statement: [Type S, emphasisComparedToA-Spec, greater performance enhancements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasisComparedToA-Spec
Context triple: [Type S, emphasisComparedToA-Spec, greater performance enhancements]
  • A. hasEmphasis
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • B. positionEmphasized
    Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
  • C. designEmphasizes
    Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
  • D. hasRelativeProminenceComparedTo chosen
    Indicates that one entity has a greater, lesser, or otherwise specified level of prominence or importance when compared to another entity.
  • E. assessmentEmphasis
    Indicates the particular aspect, component, or criterion of a subject that an assessment is primarily focused on or gives greatest weight to.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205c92b48190b7125dbbcff3662e completed April 17, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.