Triple

T11961738
Position Surface form Disambiguated ID Type / Status
Subject Snell envelope E284683 entity
Predicate optimalStoppingRule P35633 FINISHED
Object optimal stopping time is first time Snell envelope equals reward process under regularity conditions 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: optimal stopping time is first time Snell envelope equals reward process under regularity conditions | Statement: [Snell envelope, optimalStoppingRule, optimal stopping time is first time Snell envelope equals reward process under regularity conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: optimalStoppingRule
Context triple: [Snell envelope, optimalStoppingRule, optimal stopping time is first time Snell envelope equals reward process under regularity conditions]
  • A. typeOfOptimality
    Indicates that one entity specifies the particular notion or criterion of optimality that characterizes another entity’s optimal status or solution.
  • B. decisionMakingRule chosen
    Indicates the principle, guideline, or procedure that governs how a decision is made in a given context.
  • C. stochastic
    Indicates that the relationship or process involves randomness or probabilistic behavior rather than being fully deterministic.
  • D. terminationCondition
    Indicates the condition or set of conditions under which an ongoing process, activity, or relationship is brought to an end.
  • E. optimizationTarget
    Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69d8bb40f30c8190a0e0719bd67542bf completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.