Triple

T7380063
Position Surface form Disambiguated ID Type / Status
Subject Kakutani’s random ergodic theorem E170224 entity
Predicate generalizes P2372 FINISHED
Object Birkhoff’s pointwise ergodic theorem E582382 NE 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: Birkhoff’s pointwise ergodic theorem | Statement: [Kakutani’s random ergodic theorem, generalizes, Birkhoff’s pointwise ergodic theorem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Birkhoff’s pointwise ergodic theorem
Context triple: [Kakutani’s random ergodic theorem, generalizes, Birkhoff’s pointwise ergodic theorem]
  • A. Kakutani’s random ergodic theorem
    Kakutani’s random ergodic theorem is a fundamental result in ergodic theory that extends classical ergodic theorems to sequences of randomly chosen measure-preserving transformations.
  • B. Kakutani equivalence in ergodic theory
    Kakutani equivalence in ergodic theory is a notion of equivalence between measure-preserving dynamical systems based on the isomorphism of their induced transformations on subsets of positive measure.
  • C. Lectures on Ergodic Theory
    "Lectures on Ergodic Theory" is a classic mathematical monograph that systematically develops the foundations and key results of ergodic theory within dynamical systems.
  • D. ergodic theorem chosen
    The ergodic theorem is a fundamental result in dynamical systems and probability theory that links long-term time averages of a system’s evolution to ensemble or space averages, underpinning the statistical behavior of many physical and stochastic processes.
  • E. Khinchin's representation theorem
    Khinchin's representation theorem is a result in probability theory that characterizes stationary stochastic processes by representing them in terms of simpler, more fundamental random components.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c61484819087874d4e7f9fd791 completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d86da48190a1311c5c52a5f296 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.