Triple

T17341068
Position Surface form Disambiguated ID Type / Status
Subject Banach limit E421066 entity
Predicate boundednessProperty P96513 FINISHED
Object |L(x)|≤sup_n|x_n| for all bounded sequences x 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: |L(x)|≤sup_n|x_n| for all bounded sequences x | Statement: [Banach limit, boundednessProperty, |L(x)|≤sup_n|x_n| for all bounded sequences x]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: boundednessProperty
Context triple: [Banach limit, boundednessProperty, |L(x)|≤sup_n|x_n| for all bounded sequences x]
  • A. boundedByApprox
    Indicates that one quantity is constrained by another within an approximate or tolerance-based bound, rather than an exact strict limit.
  • B. isBoundedBelow
    Indicates that every value in a set or function is greater than or equal to some fixed lower bound.
  • C. givesBoundOn chosen
    Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
  • D. convergenceProperty
    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. metricSpaceProperty
    Indicates that a specified property or condition holds for a metric space, characterizing how its distance structure behaves.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69e3b021a5bc81909ae55406f9d0b37f completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:44 a.m.