Triple

T17517529
Position Surface form Disambiguated ID Type / Status
Subject Raspberry Pi Pico E426603 entity
Predicate supportsProgrammingLanguage P1592 FINISHED
Object C++ 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++ | Statement: [Raspberry Pi Pico, supportsProgrammingLanguage, C++]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++
Context triple: [Raspberry Pi Pico, supportsProgrammingLanguage, 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. 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 revolutionary communist organization in the Philippines that has led a long-running Maoist insurgency against the government.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452615a8481909974e9855ea7a8e4 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.