Triple
T22819680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randomized ReLU |
E565191
|
entity |
| Predicate | isDifferentiableAlmostEverywhere |
P68344
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Randomized ReLU, isDifferentiableAlmostEverywhere, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDifferentiableAlmostEverywhere Context triple: [Randomized ReLU, isDifferentiableAlmostEverywhere, true]
-
A.
differentiableAlmostEverywhere
chosen
Indicates that a function is differentiable at all points of its domain except possibly on a set of measure zero (i.e., for almost every point).
-
B.
nonDifferentiableAt
Indicates that a function fails to have a well-defined derivative at a specific point.
-
C.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
-
D.
hasDifferentials
Indicates that one entity possesses or is associated with differential components, mechanisms, or calculations relative to another entity.
-
E.
isAbsolutelyContinuousWithRespectTo
Indicates that one measure changes in such a way that it assigns zero measure to every set that another reference measure also considers negligible.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.