Triple
T400414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python Enhancement Proposals |
E9267
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | PEP 8 |
E9267
|
NE 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: PEP 8 | Statement: [Python Enhancement Proposals, hasPart, PEP 8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP 8 Context triple: [Python Enhancement Proposals, hasPart, PEP 8]
-
A.
Python Enhancement Proposals
chosen
Python Enhancement Proposals (PEPs) are the formal design documents that propose, specify, and document new features, processes, and standards for the Python programming language.
-
B.
Python Software Foundation
The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
-
C.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
D.
Clean Code: A Handbook of Agile Software Craftsmanship
Clean Code: A Handbook of Agile Software Craftsmanship is a highly influential software engineering book by Robert C. Martin that teaches principles and practices for writing readable, maintainable, and high-quality code.
-
E.
Python
Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8e655c819081eff85c0ef55fa5 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4103f9f588190aabdf7f5d6422d09 |
completed | March 1, 2026, 10:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.