Triple

T7150443
Position Surface form Disambiguated ID Type / Status
Subject Milstein method E166677 entity
Predicate usesIncrement P75142 FINISHED
Object Brownian motion increment 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: Brownian motion increment | Statement: [Milstein method, usesIncrement, Brownian motion increment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesIncrement
Context triple: [Milstein method, usesIncrement, Brownian motion increment]
  • A. increasesWith
    Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
  • B. subsequentIncrease
    Indicates that one quantity or value increases after a prior event, state, or change has occurred.
  • C. firstIncreaseIn
    Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
  • D. increases
    Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
  • E. typicalTargetIncrement
    Indicates the usual or expected amount by which a target value is intended to increase in a given adjustment or period.
  • F. None of above. chosen

Provenance (4 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f28b188190b1732ca711666531 completed March 27, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69c6e1caf4e48190b47bb398a3c1554d completed March 27, 2026, 8 p.m.
PDg Predicate description generation batch_69c6e4a213508190a40aca39f9eee7d5 completed March 27, 2026, 8:12 p.m.
Created at: March 27, 2026, 2:46 p.m.