Triple

T10763886
Position Surface form Disambiguated ID Type / Status
Subject Python 3.10 E253903 entity
Predicate followedBy P78 FINISHED
Object Python 3.11
Python 3.11 is a major release of the Python programming language notable for significant performance improvements, enhanced error messages, and new language features such as exception groups and the `tomllib` module.
 E886788 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 3.11 | Statement: [Python 3.10, followedBy, Python 3.11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Python 3.11
Context triple: [Python 3.10, followedBy, Python 3.11]
  • A. Python 3.10
    Python 3.10 is a major release of the Python programming language that introduced structural pattern matching and various syntax and performance improvements.
  • B. Python 3.9
    Python 3.9 is a stable release of the Python programming language that introduced features like dictionary union operators, type hinting improvements, and new string methods before being succeeded by Python 3.10.
  • C. Python 3.8
    Python 3.8 is a major release of the Python programming language that introduced several new language features, performance improvements, and standard library enhancements.
  • D. PEP 634
    PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
  • E. PEP 635
    PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
  • 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 3.11
Triple: [Python 3.10, followedBy, Python 3.11]
Generated description
Python 3.11 is a major release of the Python programming language notable for significant performance improvements, enhanced error messages, and new language features such as exception groups and the `tomllib` module.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Python 3.11
Target entity description: Python 3.11 is a major release of the Python programming language notable for significant performance improvements, enhanced error messages, and new language features such as exception groups and the `tomllib` module.
  • A. Python 3.10
    Python 3.10 is a major release of the Python programming language that introduced structural pattern matching and various syntax and performance improvements.
  • B. Python 3.9
    Python 3.9 is a stable release of the Python programming language that introduced features like dictionary union operators, type hinting improvements, and new string methods before being succeeded by Python 3.10.
  • C. Python 3.8
    Python 3.8 is a major release of the Python programming language that introduced several new language features, performance improvements, and standard library enhancements.
  • D. PEP 634
    PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
  • E. PEP 635
    PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
  • 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_69de84b88ba08190afddea2976d12465 completed April 14, 2026, 6:17 p.m.
NEDg Description generation batch_69de883488b481909f151d8a7c246aa1 completed April 14, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69de8e80fe80819088ac76bb5abc58f0 completed April 14, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:16 p.m.