Triple

T124588
Position Surface form Disambiguated ID Type / Status
Subject Russell’s paradox E2517 entity
Predicate resolutionApproach P4453 FINISHED
Object restricting set formation by axioms 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: restricting set formation by axioms | Statement: [Russell’s paradox, resolutionApproach, restricting set formation by axioms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resolutionApproach
Context triple: [Russell’s paradox, resolutionApproach, restricting set formation by axioms]
  • A. policyApproach
    Indicates the strategy, method, or overall course of action adopted in creating, implementing, or managing a policy.
  • B. solutionType chosen
    Indicates the specific category or kind of solution associated with an entity or problem.
  • C. basedOnResolution
    Indicates that something is determined, derived, or decided according to a particular resolution, decision, or formal determination.
  • D. managementApproach
    Indicates the strategy, methods, or style used to direct, organize, and oversee the activities or resources of an entity or process.
  • E. decides
    Indicates that an entity makes a choice or determination between options, often resolving uncertainty or selecting a course of action.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573e4e6481908252dfef2e34f46e completed Feb. 28, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69a2564a54948190ba30bee858173b27 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.