Triple

T2325303
Position Surface form Disambiguated ID Type / Status
Subject Ornstein–Uhlenbeck process E48273 entity
Predicate hasAutocorrelationFunction P38109 FINISHED
Object exponentially decaying autocorrelation 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: exponentially decaying autocorrelation | Statement: [Ornstein–Uhlenbeck process, hasAutocorrelationFunction, exponentially decaying autocorrelation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAutocorrelationFunction
Context triple: [Ornstein–Uhlenbeck process, hasAutocorrelationFunction, exponentially decaying autocorrelation]
  • A. hasStatisticalFunctions
    Indicates that one entity provides or supports statistical operations or capabilities for another entity.
  • B. isSelfSynchronizing
    Indicates that a process, system, or component can automatically align its timing or state with others without requiring external coordination or control.
  • C. hasCorrelativesSystem
    Indicates that one entity possesses or employs a system of correlatives—structured, corresponding elements or forms that are systematically related to each other.
  • D. hasCouplingConstant
    Indicates that one entity is associated with a specific coupling constant value that quantifies the strength of an interaction or relationship.
  • E. hasDistributionFunction
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
PD Predicate disambiguation batch_69abc5909cc48190aab257313542dc49 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc682d094819081a96ffb77c4c42a completed March 7, 2026, 6:32 a.m.
Created at: March 4, 2026, 7:50 p.m.