Triple
T10946355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standards Track PEPs |
E258606
|
entity |
| Predicate | hasSubcategory |
P747
|
FINISHED |
| Object | C API PEPs |
E824098
|
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: C API PEPs | Statement: [Standards Track PEPs, hasSubcategory, C API PEPs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C API PEPs Context triple: [Standards Track PEPs, hasSubcategory, C API PEPs]
-
A.
C API
chosen
The C API is a set of C-language functions and data structures that allow programs to interact with and control the Z3 theorem prover.
-
B.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
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 0
PEP 0 is the index document that lists and tracks the status of all Python Enhancement Proposals (PEPs) in the Python community.
-
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.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770eaaea08190b06e508600d8a305 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c3c885081908edcece772b2e759 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.