Triple
T32747309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jensen–Shannon divergence |
E837388
|
entity |
| Predicate | isConvexInEachArgument |
P180274
|
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: [Jensen–Shannon divergence, isConvexInEachArgument, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConvexInEachArgument Context triple: [Jensen–Shannon divergence, isConvexInEachArgument, true]
-
A.
isConvex
Indicates that a shape or set has the property that every line segment connecting any two points within it lies entirely inside it.
-
B.
areConvex
Indicates that the referenced shape or set has the property that any line segment connecting two points within it lies entirely inside it.
-
C.
isJointlyConvex
Indicates that a function or relation is convex in all its arguments taken together, so any convex combination of input tuples yields an output no greater than the corresponding convex combination of outputs.
-
D.
isConcaveIn
Indicates that a function or relation curves inward (is concave) with respect to a specified variable or argument, so that any line segment between two points on its graph lies below or on the graph.
-
E.
isLogConvexOn
Indicates that the logarithm of a function is convex on a specified domain, meaning the function satisfies log-convexity over that interval or set.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:12 a.m.