Triple

T11216067
Position Surface form Disambiguated ID Type / Status
Subject PEP 585 E265442 entity
Predicate title P38 FINISHED
Object Type Hinting Generics In Standard Collections E265438 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: Type Hinting Generics In Standard Collections | Statement: [PEP 585, title, Type Hinting Generics In Standard Collections]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Type Hinting Generics In Standard Collections
Context triple: [PEP 585, title, Type Hinting Generics In Standard Collections]
  • A. .NET generics
    .NET generics are a type system feature in the .NET framework that enables type-safe, reusable, and efficient data structures and methods by allowing code to be written with placeholder types.
  • B. Python generic types chosen
    Python generic types are a type system feature that allows developers to write functions, classes, and data structures that operate on values of multiple types while preserving static type information.
  • C. Common Type System
    The Common Type System is a core component of the .NET architecture that defines how data types are declared, used, and managed across different .NET languages to ensure interoperability and type safety.
  • D. System.Collections.Generic
    System.Collections.Generic is a .NET namespace that provides type-safe, generic collection classes such as lists, dictionaries, and queues for efficient data storage and manipulation.
  • E. PEP 647 TypeGuard
    PEP 647 TypeGuard is a Python typing feature that allows developers to define user-defined type guard functions, enabling more precise type narrowing and improved static type checking.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.