Triple
T10763898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python 3.10 |
E253903
|
entity |
| Predicate | implementsPEP |
P43638
|
FINISHED |
| Object |
PEP 618
PEP 618 is a Python Enhancement Proposal that introduced the `strict` parameter to the built-in `zip` function, enabling stricter handling of iterables with mismatched lengths.
|
E907044
|
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: PEP 618 | Statement: [Python 3.10, implementsPEP, PEP 618]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP 618 Context triple: [Python 3.10, implementsPEP, PEP 618]
-
A.
PEP 612
PEP 612 is a Python Enhancement Proposal that introduces support for parameter specification variables to improve typing of higher-order functions and decorators in Python’s type system.
-
B.
PEP 613
PEP 613 is a Python Enhancement Proposal that introduces the `TypeAlias` annotation to clearly declare and distinguish type aliases in Python’s type hinting system.
-
C.
PEP 614
PEP 614 is a Python Enhancement Proposal that relaxes the grammar restrictions on decorator syntax, allowing more flexible and expressive decorator expressions in Python.
-
D.
PEP 622
PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
-
E.
PEP 695
PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
- 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: PEP 618 Triple: [Python 3.10, implementsPEP, PEP 618]
Generated description
PEP 618 is a Python Enhancement Proposal that introduced the `strict` parameter to the built-in `zip` function, enabling stricter handling of iterables with mismatched lengths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PEP 618 Target entity description: PEP 618 is a Python Enhancement Proposal that introduced the `strict` parameter to the built-in `zip` function, enabling stricter handling of iterables with mismatched lengths.
-
A.
PEP 612
PEP 612 is a Python Enhancement Proposal that introduces support for parameter specification variables to improve typing of higher-order functions and decorators in Python’s type system.
-
B.
PEP 613
PEP 613 is a Python Enhancement Proposal that introduces the `TypeAlias` annotation to clearly declare and distinguish type aliases in Python’s type hinting system.
-
C.
PEP 614
PEP 614 is a Python Enhancement Proposal that relaxes the grammar restrictions on decorator syntax, allowing more flexible and expressive decorator expressions in Python.
-
D.
PEP 622
PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
-
E.
PEP 695
PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
- F. None of above. chosen
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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a504948190943f0e27c0d891ed |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4416ecd748190b15f7496e1ce7728 |
completed | April 19, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69e44c0606408190819b9d3fd58f818f |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4510dc55081908f89aab15726b2a8 |
completed | April 19, 2026, 3:50 a.m. |
Created at: April 8, 2026, 9:16 p.m.