Triple
T25097520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | double exponential distribution |
E628629
|
entity |
| Predicate | hasLogConcaveDensity |
P164778
|
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: [double exponential distribution, hasLogConcaveDensity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogConcaveDensity Context triple: [double exponential distribution, hasLogConcaveDensity, true]
-
A.
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.
-
B.
isLogarithmicallyConvexOn
Indicates that a function defined on a given domain has a logarithm that is convex, meaning the log of the function lies below or on every chord between any two points in that domain.
-
C.
hasLogisticFunction
Indicates that one entity is responsible for providing, managing, or supporting the logistics operations or services of another entity.
-
D.
hasLogarithmicDerivative
Indicates that one quantity is the logarithmic derivative of another, i.e., it represents the derivative of the logarithm of a function (or equivalently the derivative of the function divided by the function itself).
-
E.
hasLogLikelihood
Indicates that a particular outcome, event, or data instance is associated with a specified numerical value representing the logarithm of its probability (log-likelihood) under a given model or distribution.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 18, 2026, 6:25 a.m.