Triple
T10826135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provisional PEPs |
E255501
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Deferred PEPs
Deferred PEPs are Python Enhancement Proposals that have been postponed for future consideration, typically because they are not currently being actively pursued or prioritized.
|
E51003
|
NE FINISHED |
How this triple was built (4 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: Deferred PEPs | Statement: [Provisional PEPs, relatedTo, Deferred PEPs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deferred PEPs Context triple: [Provisional PEPs, relatedTo, Deferred PEPs]
-
A.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
B.
Provisional PEPs
Provisional PEPs are a category of Python Enhancement Proposals that introduce features or changes on a trial basis, allowing them to be tested and refined before being fully accepted or rejected.
-
C.
Standards Track PEPs
Standards Track PEPs are Python Enhancement Proposals that introduce or change core Python features, syntax, or standard library behavior and, once accepted, are intended to be implemented in the language.
-
D.
PEP 1 – PEP Purpose and Guidelines
PEP 1 – PEP Purpose and Guidelines is the foundational Python Enhancement Proposal that defines the goals, structure, and workflow for all other PEPs in the Python development process.
-
E.
PEP 13
PEP 13 is the Python Enhancement Proposal that defines the process and rules for selecting and operating the Python Steering Council, the core governance body of the Python project.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deferred PEPs Triple: [Provisional PEPs, relatedTo, Deferred PEPs]
Generated description
Deferred PEPs are Python Enhancement Proposals that have been postponed for future consideration, typically because they are not currently being actively pursued or prioritized.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deferred PEPs Target entity description: Deferred PEPs are Python Enhancement Proposals that have been postponed for future consideration, typically because they are not currently being actively pursued or prioritized.
-
A.
PEPs
chosen
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
B.
Provisional PEPs
Provisional PEPs are a category of Python Enhancement Proposals that introduce features or changes on a trial basis, allowing them to be tested and refined before being fully accepted or rejected.
-
C.
Standards Track PEPs
Standards Track PEPs are Python Enhancement Proposals that introduce or change core Python features, syntax, or standard library behavior and, once accepted, are intended to be implemented in the language.
-
D.
PEP 1 – PEP Purpose and Guidelines
PEP 1 – PEP Purpose and Guidelines is the foundational Python Enhancement Proposal that defines the goals, structure, and workflow for all other PEPs in the Python development process.
-
E.
PEP 13
PEP 13 is the Python Enhancement Proposal that defines the process and rules for selecting and operating the Python Steering Council, the core governance body of the Python project.
- F. None of above.
Provenance (5 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d1c24881909f56d56207cccbef |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de858672d8819094baf4fe98b8dea4 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8e70da448190b80068fea047a88c |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de94dd45548190a88b5ab991756d12 |
completed | April 14, 2026, 7:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.