Triple
T14439648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring Framework |
E358052
|
entity |
| Predicate | testingSupport |
P43154
|
FINISHED |
| Object | unit testing |
—
|
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: unit testing | Statement: [Spring Framework, testingSupport, unit testing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testingSupport Context triple: [Spring Framework, testingSupport, unit testing]
-
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.
tests
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
C.
testedWith
Indicates that one entity has been examined, evaluated, or verified using another entity as the test method, tool, or counterpart.
-
D.
theorySupports
Indicates that one theory provides justification, evidence, or logical backing for another claim, theory, or proposition.
-
E.
testingMethod
chosen
Indicates the procedure, technique, or approach used to perform a particular test or evaluation.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.