Triple
T29938533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRG32k3a generator |
E760432
|
entity |
| Predicate | passesTestSuite |
P174403
|
FINISHED |
| Object | TestU01 Crush battery (under recommended usage) |
—
|
NE NERFINISHED |
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: TestU01 Crush battery (under recommended usage) | Statement: [MRG32k3a generator, passesTestSuite, TestU01 Crush battery (under recommended usage)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passesTestSuite Context triple: [MRG32k3a generator, passesTestSuite, TestU01 Crush battery (under recommended usage)]
-
A.
testSuite
Indicates that one entity is a collection or grouping of tests designed to be executed together, typically to validate behavior or functionality.
-
B.
partOfSuite
Indicates that one item is a component or module belonging to a larger suite or collection.
-
C.
sampleSuite
Indicates that an entity is part of, associated with, or belongs to a particular sample suite (a grouped set of related samples or tests).
-
D.
containsSuite
Indicates that one entity includes or encompasses a suite (a set or collection of related items, components, or units) as part of its contents.
-
E.
testResult
Indicates that an entity has produced a specific outcome or value when subjected to a particular test or evaluation.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 29, 2026, 6:21 p.m.