Triple
T10851771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assignment Expressions |
E256161
|
entity |
| Predicate | standardizedIn |
P7508
|
FINISHED |
| Object |
Python 3 language specification
The Python 3 language specification is the formal, authoritative document that defines the syntax, semantics, and core behavior of the Python 3 programming language.
|
E888829
|
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: Python 3 language specification | Statement: [Assignment Expressions, standardizedIn, Python 3 language specification]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python 3 language specification Context triple: [Assignment Expressions, standardizedIn, Python 3 language specification]
-
A.
PEP 13: Python Language Governance
PEP 13: Python Language Governance is the Python Enhancement Proposal that defines the structure, responsibilities, and election process of the Python Steering Council, establishing the project's formal governance model.
-
B.
PEP 636
PEP 636 is a Python Enhancement Proposal that serves as a tutorial-style guide to the structural pattern matching feature introduced in Python 3.10.
-
C.
PEP 634
PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
-
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 572
PEP 572 is the Python proposal that introduced the “walrus operator” (:=) for assignment expressions, allowing assignment within larger expressions.
- 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: Python 3 language specification Triple: [Assignment Expressions, standardizedIn, Python 3 language specification]
Generated description
The Python 3 language specification is the formal, authoritative document that defines the syntax, semantics, and core behavior of the Python 3 programming language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Python 3 language specification Target entity description: The Python 3 language specification is the formal, authoritative document that defines the syntax, semantics, and core behavior of the Python 3 programming language.
-
A.
PEP 13: Python Language Governance
PEP 13: Python Language Governance is the Python Enhancement Proposal that defines the structure, responsibilities, and election process of the Python Steering Council, establishing the project's formal governance model.
-
B.
PEP 636
PEP 636 is a Python Enhancement Proposal that serves as a tutorial-style guide to the structural pattern matching feature introduced in Python 3.10.
-
C.
PEP 634
PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
-
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 572
PEP 572 is the Python proposal that introduced the “walrus operator” (:=) for assignment expressions, allowing assignment within larger expressions.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75117b76c8190b0fb216b1428c3c7 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb17d978c8190883b4a56e88859de |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69deb515ab608190981689bcad4b7530 |
completed | April 14, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb602fa908190bffdd291932da3f1 |
completed | April 14, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:20 p.m.