Triple

T1672129
Position Surface form Disambiguated ID Type / Status
Subject MariaDB E36148 entity
Predicate programmingLanguage P1592 FINISHED
Object C++ E13747 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: C++ | Statement: [MariaDB, programmingLanguage, C++]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++
Context triple: [MariaDB, programmingLanguage, C++]
  • A. C++ chosen
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • B. .cc
    .cc is the country code top-level domain (ccTLD) assigned to the Cocos (Keeling) Islands, often marketed globally for a variety of commercial and creative uses.
  • C. C++ standard library
    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. STL
    STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6244b2888190b551b55aa053f1d3 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0c59f608190984dd3bdf695acc3 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:29 p.m.