Triple

T10915708
Position Surface form Disambiguated ID Type / Status
Subject PEP 636 E257816 entity
Predicate title P38 FINISHED
Object Structural Pattern Matching: Tutorial E253899 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: Structural Pattern Matching: Tutorial | Statement: [PEP 636, title, Structural Pattern Matching: Tutorial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Structural Pattern Matching: Tutorial
Context triple: [PEP 636, title, Structural Pattern Matching: Tutorial]
  • A. Structural Pattern Matching chosen
    Structural Pattern Matching is a Python language feature, introduced via PEP 622, that enables powerful, declarative matching of complex data structures using a `match`/`case` syntax.
  • B. Hindley–Milner type system
    The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
  • C. Analysis Patterns: Reusable Object Models
    Analysis Patterns: Reusable Object Models is a software engineering book by Martin Fowler that presents recurring object-oriented design solutions for modeling complex business domains.
  • D. Domain-Specific Languages
    Domain-Specific Languages is a technical book by Martin Fowler that explores the design, implementation, and practical use of specialized programming languages tailored to specific problem domains.
  • E. Standard ML of New Jersey
    Standard ML of New Jersey is a well-known, optimizing compiler and interactive environment for the Standard ML programming language, widely used in research and teaching.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77074c77c8190af91369eee11f1b7 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216eb77dc81908c380f5fcd507275 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.