Triple
T400496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPython |
E9268
|
entity |
| Predicate | testSuite |
P12983
|
FINISHED |
| Object | regression test suite included in source tree |
—
|
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: regression test suite included in source tree | Statement: [CPython, testSuite, regression test suite included in source tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSuite Context triple: [CPython, testSuite, regression test suite included in source tree]
-
A.
tests
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
B.
testsIn
Indicates that one entity conducts or performs tests within, on, or using another entity.
-
C.
commonTest
Indicates that two or more entities share the same test, testing procedure, or evaluation in common.
-
D.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
E.
operatorAtTimeOfTest
Indicates that a specific operator was responsible for or active at the time a particular test was conducted.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8e655c819081eff85c0ef55fa5 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2eb7c56bc8190ab787801af2eec8d |
completed | Feb. 28, 2026, 1:19 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.