Triple

T22447251
Position Surface form Disambiguated ID Type / Status
Subject Parrot virtual machine E554891 entity
Predicate supportsLanguage P2177 FINISHED
Object Perl 6 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: Perl 6 | Statement: [Parrot virtual machine, supportsLanguage, Perl 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perl 6
Context triple: [Parrot virtual machine, supportsLanguage, Perl 6]
  • A. Rakudo
    Rakudo is a leading compiler and implementation of the Raku programming language, focusing on full language support and modern concurrency features.
  • B. Perl 6 project chosen
    The Perl 6 project was a major redesign and evolution of the Perl programming language that ultimately led to the creation of Raku as a distinct language.
  • C. Perl
    Perl is a small municipality in western Germany’s Saarland region, known for its location near the tripoint of Germany, Luxembourg, and France along the Moselle River.
  • D. Perl
    Perl is a high-level, general-purpose programming language known for its powerful text-processing capabilities and use in system administration, web development, and scripting.
  • E. Odin programming language
    Odin is a statically typed, compiled systems programming language focused on simplicity, data-oriented design, and high performance as an alternative to C.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b48be0481909f4601b732424e5b completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:47 p.m.