Triple
T36013173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolmogorov microscales |
E1041766
|
entity |
| Predicate | timeScaleFormula |
P184928
|
FINISHED |
| Object | τη = (ν/ε)^(1/2) |
—
|
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: τη = (ν/ε)^(1/2) | Statement: [Kolmogorov microscales, timeScaleFormula, τη = (ν/ε)^(1/2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeScaleFormula Context triple: [Kolmogorov microscales, timeScaleFormula, τη = (ν/ε)^(1/2)]
-
A.
timeScaleType
Indicates the type or category of temporal scaling applied to an event, process, or measurement (e.g., real-time, accelerated, aggregated).
-
B.
timeScaleOfChange
Indicates the characteristic rate or temporal scale over which a change, process, or transition occurs.
-
C.
timeScaleUnit
Indicates the unit of temporal measurement (such as seconds, minutes, or hours) used to express a given time scale.
-
D.
timeScaleFramework
Indicates a relationship where one entity defines or provides the temporal measurement system or framework within which another entity’s timing, duration, or scheduling is interpreted.
-
E.
timeScaleClass
Indicates the classification of a temporal scale or granularity at which an event, process, or relationship is considered or analyzed.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:07 p.m.