Triple

T17560835
Position Surface form Disambiguated ID Type / Status
Subject GIN index E427691 entity
Predicate tunableParameter P81276 FINISHED
Object fastupdate 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: fastupdate | Statement: [GIN index, tunableParameter, fastupdate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tunableParameter
Context triple: [GIN index, tunableParameter, fastupdate]
  • A. tunable chosen
    Indicates that the associated entity can be adjusted or configured to different settings or values, typically to optimize performance or behavior.
  • B. controlParameter
    Indicates that one entity functions as a parameter that governs, tunes, or constrains the behavior or operation of another entity.
  • C. tuningMethod
    Indicates the method or approach used to adjust or optimize something’s parameters or performance.
  • D. tuningType
    Indicates the specific method or configuration by which something is adjusted or calibrated to achieve a desired performance or behavior.
  • E. parameter
    Indicates that one entity serves as a parameter or argument that configures, constrains, or influences the behavior or outcome of another entity or process.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.