Triple
T2325304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornstein–Uhlenbeck process |
E48273
|
entity |
| Predicate | hasMeanFunction |
P3634
|
FINISHED |
| Object | exponential reversion to long-term mean |
—
|
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: exponential reversion to long-term mean | Statement: [Ornstein–Uhlenbeck process, hasMeanFunction, exponential reversion to long-term mean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeanFunction Context triple: [Ornstein–Uhlenbeck process, hasMeanFunction, exponential reversion to long-term mean]
-
A.
hasMean
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
B.
hasStatisticalFunctions
Indicates that one entity provides or supports statistical operations or capabilities for another entity.
-
C.
hasDistributionFunction
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
D.
hadFunction
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
E.
hasMomentGeneratingFunction
Indicates that a random variable or probability distribution possesses a well-defined moment generating function characterizing all of its moments.
- 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_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. |
Created at: March 4, 2026, 7:50 p.m.