Triple

T2364731
Position Surface form Disambiguated ID Type / Status
Subject Riemann sums E47353 entity
Predicate refinementProperty P14357 FINISHED
Object finer partitions generally give better approximations 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: finer partitions generally give better approximations | Statement: [Riemann sums, refinementProperty, finer partitions generally give better approximations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refinementProperty
Context triple: [Riemann sums, refinementProperty, finer partitions generally give better approximations]
  • A. metaProperty
    Indicates that one property functions as a higher-level descriptor or attribute about another property, rather than about an entity directly.
  • B. transformationProperty
    Indicates that one entity has a specific behavior, constraint, or characteristic related to how it changes, converts, or is transformed into another form or state.
  • C. generalizationProperty
    Indicates that one property is a more general, overarching version of another property, capturing a broader or more abstract relationship.
  • D. convergenceProperty chosen
    Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
  • E. spatialProperty
    Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc7486cb48190acef1891cc87bdb1 completed March 7, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69abc599b92c819093d9e15d4437705d completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:55 p.m.