Triple
T17522130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 425 platform compatibility tags |
E426699
|
entity |
| Predicate | interpreterTagExample |
P63105
|
FINISHED |
| Object | cp39 |
—
|
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: cp39 | Statement: [PEP 425 platform compatibility tags, interpreterTagExample, cp39]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpreterTagExample Context triple: [PEP 425 platform compatibility tags, interpreterTagExample, cp39]
-
A.
codeExample
Indicates that one entity provides a snippet or sample of source code that illustrates how to use, implement, or demonstrate another entity.
-
B.
interpreter
chosen
Indicates that one entity serves to translate or render the meaning of another entity (such as language, code, or symbols) into an understandable or executable form.
-
C.
indicatorExample
Indicates that one entity serves as an example or instance illustrating the characteristics, behavior, or usage of another entity.
-
D.
teachingExample
Indicates that one entity serves as an illustrative or instructional example used to teach or clarify something to another entity.
-
E.
baseExamples
Indicates that something serves as a fundamental or illustrative example for understanding or demonstrating another concept, item, or case.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.