Triple
T38260731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenier map |
E1017920
|
entity |
| Predicate | isGradientOf |
P172710
|
FINISHED |
| Object | convex potential function |
—
|
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: convex potential function | Statement: [Brenier map, isGradientOf, convex potential function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGradientOf Context triple: [Brenier map, isGradientOf, convex potential function]
-
A.
hasGradient
Indicates that one entity possesses or is characterized by a gradual change in value, intensity, or property across its extent or between two points.
-
B.
gradientGives
chosen
Indicates that one entity provides or determines the gradient (rate of change) of another entity.
-
C.
operatesOnGradient
Indicates that an entity performs operations or computations directly on a gradient or gradient-based representation.
-
D.
usesGradientInformation
Indicates that an entity performs its operation by leveraging gradient (derivative) information, typically to guide optimization or learning steps.
-
E.
isAdjointFormOf
Indicates that one mathematical object is the adjoint (or conjugate transpose / dual) form corresponding to another object in a given structure or context.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.