Triple

T575199
Position Surface form Disambiguated ID Type / Status
Subject C++ E13747 entity
Predicate hasStandard P1371 FINISHED
Object C++17 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++17 | Statement: [C++, hasStandard, C++17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++17
Context triple: [C++, hasStandard, C++17]
  • 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. 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.
  • C. STL
    STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
  • 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. GCC
    GCC is a regional political and economic union of Arab states bordering the Persian Gulf, focused on cooperation in areas such as trade, security, and cultural affairs.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.