Triple
T24081811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chi-square distribution |
E596523
|
entity |
| Predicate | cdf |
P154781
|
FINISHED |
| Object | regularized gamma function of x/2 and k/2 |
—
|
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: regularized gamma function of x/2 and k/2 | Statement: [chi-square distribution, cdf, regularized gamma function of x/2 and k/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cdf Context triple: [chi-square distribution, cdf, regularized gamma function of x/2 and k/2]
-
A.
derivativeDistribution
Indicates a relationship where one entity is a financial derivative whose value or payoff is contractually based on, or distributed according to, the performance or characteristics of another underlying entity.
-
B.
asymptoticDistribution
Indicates that one quantity’s probability distribution approaches another distribution as some parameter (such as sample size) grows without bound.
-
C.
classDistribution
Indicates how instances are proportionally or numerically distributed across different classes or categories within a dataset or grouping.
-
D.
hasProbabilityDensityShape
Indicates that one entity exhibits, is characterized by, or is associated with a particular shape or form of a probability density function.
-
E.
massFunction
Indicates a relationship that assigns a quantitative mass value or distribution to an entity or set of entities.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc24b0d081909fcae5e34c6e3b98 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:43 p.m.