Triple
T79822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownian motion |
E1601
|
entity |
| Predicate | varianceGrowth |
P2061
|
FINISHED |
| Object | proportional to 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: proportional to time | Statement: [Brownian motion, varianceGrowth, proportional to time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: varianceGrowth Context triple: [Brownian motion, varianceGrowth, proportional to time]
-
A.
growthForm
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
B.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
C.
averageSpreadingRate
chosen
Indicates the typical rate at which something (such as a phenomenon, substance, or influence) expands or propagates over a given distance or time.
-
D.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
E.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eb126b48190b410b859c1be99aa |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.