Triple

T7666348
Position Surface form Disambiguated ID Type / Status
Subject Effective STL E173632 entity
Predicate subject P450 FINISHED
Object Standard Template Library E72067 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: Standard Template Library | Statement: [Effective STL, subject, Standard Template Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Template Library
Context triple: [Effective STL, subject, Standard Template Library]
  • A. STL
    STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
  • B. C++ standard library chosen
    The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
  • C. Effective STL
    Effective STL is a programming book by Scott Meyers that provides practical guidelines and best practices for using the C++ Standard Template Library effectively and efficiently.
  • D. ISO/IEC 14882
    ISO/IEC 14882 is the international standard that formally defines the C++ programming language, including its core language features and standard library.
  • E. Microsoft Foundation Classes
    Microsoft Foundation Classes (MFC) is an object-oriented C++ library from Microsoft that simplifies the development of Windows desktop applications by wrapping the Windows API in reusable classes.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2206664819085c6825e63eadd6f completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.