Triple

T17825342
Position Surface form Disambiguated ID Type / Status
Subject CLU programming language E445099 entity
Predicate influenced P9 FINISHED
Object C++ (programming language) NE NERFINISHED

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++ (programming language) | Statement: [CLU programming language, influenced, C++ (programming language)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++ (programming language)
Context triple: [CLU programming language, influenced, C++ (programming language)]
  • 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. CPP
    CPP is a Canadian government-run public pension program that provides retirement, disability, and survivor benefits to eligible contributors.
  • C. CPP
    CPP is a public polytechnic university in Pomona, California, known for its hands-on, learn-by-doing educational approach.
  • D. CPP
    CPP is the abbreviation for the Swiss Criminal Procedure Code, the federal law governing criminal proceedings in Switzerland.
  • E. CPP
    CPP is a commonly used abbreviation that can refer to various concepts depending on context, such as financial programs, programming paradigms, or pension plans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914226c819083edcc78e00b2d42 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.