Triple
T37293590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 552 |
E925734
|
entity |
| Predicate | replacesBehavior |
P121988
|
FINISHED |
| Object | non-deterministic timestamp-based pyc generation |
—
|
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: non-deterministic timestamp-based pyc generation | Statement: [PEP 552, replacesBehavior, non-deterministic timestamp-based pyc generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesBehavior Context triple: [PEP 552, replacesBehavior, non-deterministic timestamp-based pyc generation]
-
A.
replacedBehavior
chosen
Indicates that one behavior has been substituted or superseded by another behavior.
-
B.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
C.
replacesSupportFor
Indicates that one entity takes over or substitutes for the role or function previously provided by another entity’s support.
-
D.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
-
E.
replacesComponentOf
Indicates that one entity takes the place of a specific component within another entity, substituting for that component in its role or function.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 3, 2026, 4:16 p.m.