Triple
T36013172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolmogorov microscales |
E1041766
|
entity |
| Predicate | lengthScaleFormula |
P70388
|
FINISHED |
| Object | η = (ν³/ε)^(1/4) |
—
|
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: η = (ν³/ε)^(1/4) | Statement: [Kolmogorov microscales, lengthScaleFormula, η = (ν³/ε)^(1/4)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthScaleFormula Context triple: [Kolmogorov microscales, lengthScaleFormula, η = (ν³/ε)^(1/4)]
-
A.
dimensionFormula
chosen
Indicates a mathematical or logical expression that defines how a particular dimension (such as size, measure, or extent) is derived or calculated from other quantities.
-
B.
hasFundamentalLengthScale
Indicates that there exists a basic, irreducible unit of length that characterizes the scale at which the described entity or theory fundamentally operates.
-
C.
scaleFunction
Indicates a relationship where one entity defines how another entity’s values are proportionally adjusted or transformed according to a scaling rule or factor.
-
D.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
E.
maximumLikelihoodEstimatorForScale
Indicates the estimator that yields the most likely value of a scale parameter given observed data.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acb563308190be62bcccd3203001 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.