Triple
T15432376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fick's first law of diffusion |
E369670
|
entity |
| Predicate | dimensionOfDiffusionCoefficient |
P118758
|
FINISHED |
| Object | area per unit time |
—
|
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: area per unit time | Statement: [Fick's first law of diffusion, dimensionOfDiffusionCoefficient, area per unit time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dimensionOfDiffusionCoefficient Context triple: [Fick's first law of diffusion, dimensionOfDiffusionCoefficient, area per unit time]
-
A.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
-
B.
formationDimension
Indicates the dimensional characteristics (such as size, scale, or extent) associated with the formation of something.
-
C.
dimensionDependentProperties
Indicates that certain properties or characteristics of an entity vary as a function of its dimensional attributes (such as size, length, or number of dimensions).
-
D.
dimensionCount
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
-
E.
dimensionFormula
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.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.