Triple
T26446864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearson correlation coefficient |
E665236
|
entity |
| Predicate | canBeTestedBy |
P86589
|
FINISHED |
| Object | t-test for correlation |
—
|
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: t-test for correlation | Statement: [Pearson correlation coefficient, canBeTestedBy, t-test for correlation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeTestedBy Context triple: [Pearson correlation coefficient, canBeTestedBy, t-test for correlation]
-
A.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
-
B.
testedUnder
Indicates that one entity is examined, evaluated, or experimented on while being subject to the conditions, environment, or parameters specified by another entity.
-
C.
testedWith
chosen
Indicates that one entity has been examined, evaluated, or verified using another entity as the test method, tool, or counterpart.
-
D.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
E.
isUsedToTest
Indicates that one entity serves as a means or tool for evaluating, examining, or verifying another entity.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 12:02 a.m.