Triple

T30828480
Position Surface form Disambiguated ID Type / Status
Subject Quantitative Feedback Theory E785142 entity
Predicate designStep P194365 FINISHED
Object specification of performance and robustness bounds 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: specification of performance and robustness bounds | Statement: [Quantitative Feedback Theory, designStep, specification of performance and robustness bounds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designStep
Context triple: [Quantitative Feedback Theory, designStep, specification of performance and robustness bounds]
  • A. designProcess
    Indicates the sequence of actions, decisions, and iterations involved in creating, developing, or refining a design.
  • B. hasStepDesign
    Indicates that one entity possesses or incorporates a particular step-related design or configuration in relation to another entity.
  • C. designLead
    Indicates that one entity serves as the primary designer or person in charge of leading the design work for another entity or project.
  • D. designCheck
    Indicates that an entity performs a review or verification of a design to ensure it meets specified requirements or standards.
  • E. designModel
    Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
  • F. None of above. chosen

Provenance (4 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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
PDg Predicate description generation batch_69fd6dbc3ac0819093fbcfe95f12b93d completed May 8, 2026, 4:59 a.m.
Created at: April 29, 2026, 8:44 p.m.