Triple
T34594717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPython contribution guidelines |
E888278
|
entity |
| Predicate | coversProcess |
P180046
|
FINISHED |
| Object | proposing changes to CPython |
—
|
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: proposing changes to CPython | Statement: [CPython contribution guidelines, coversProcess, proposing changes to CPython]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversProcess Context triple: [CPython contribution guidelines, coversProcess, proposing changes to CPython]
-
A.
coversProgram
Indicates that one entity provides coverage, support, or inclusion for a particular program, such as through insurance, funding, or service scope.
-
B.
coversProceedings
Indicates that one entity reports on, documents, or provides coverage of a set of proceedings or events involving another entity.
-
C.
coversSystem
Indicates that one entity provides coverage, applicability, or protection for a particular system.
-
D.
coversFrom
Indicates that one entity provides protection, concealment, or shelter for another entity against something originating from a specified source or direction.
-
E.
coversWork
chosen
Indicates that one entity provides coverage, protection, or inclusion for a particular work, task, or piece of content.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 2:03 a.m.