Triple

T14440088
Position Surface form Disambiguated ID Type / Status
Subject The C++ Programming Language E358061 entity
Predicate covers P1393 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: [The C++ Programming Language, covers, standard template library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: standard template library
Context triple: [The C++ Programming Language, covers, standard template library]
  • A. STL
    STL is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • B. STL
    STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.