Triple
T15961378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruskal–Wallis test |
E387065
|
entity |
| Predicate | testStatisticDistribution |
P120615
|
FINISHED |
| Object | approximately chi-square distribution under the null hypothesis |
—
|
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: approximately chi-square distribution under the null hypothesis | Statement: [Kruskal–Wallis test, testStatisticDistribution, approximately chi-square distribution under the null hypothesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testStatisticDistribution Context triple: [Kruskal–Wallis test, testStatisticDistribution, approximately chi-square distribution under the null hypothesis]
-
A.
hasTestStatistic
Indicates that a given test or analysis is associated with a specific numerical test statistic value.
-
B.
hasStatistics
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
C.
statisticalType
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
-
D.
classDistribution
Indicates how instances are proportionally or numerically distributed across different classes or categories within a dataset or grouping.
-
E.
statisticsType
Indicates the specific kind or category of statistical measure or analysis associated with an entity or dataset.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:53 a.m.