Triple
T79804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownian motion |
E1601
|
entity |
| Predicate | dimension |
P3633
|
FINISHED |
| Object | one-dimensional in its standard form |
—
|
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: one-dimensional in its standard form | Statement: [Brownian motion, dimension, one-dimensional in its standard form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dimension Context triple: [Brownian motion, dimension, one-dimensional in its standard form]
-
A.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
B.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
magnitude
Indicates a relationship where a quantitative size, extent, or intensity is assigned to or compared between entities or values.
-
D.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
E.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
- 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_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. |
| PDg | Predicate description generation | batch_69a24fcfff7c8190adbacd1539829850 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.