Triple

T14931029
Position Surface form Disambiguated ID Type / Status
Subject Java Virtual Machine E372263 entity
Predicate supportsLanguage P2177 FINISHED
Object JRuby E96201 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: JRuby | Statement: [Java Virtual Machine, supportsLanguage, JRuby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JRuby
Context triple: [Java Virtual Machine, supportsLanguage, JRuby]
  • A. JRuby chosen
    JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
  • B. IronRuby
    IronRuby is an implementation of the Ruby programming language built to run on Microsoft's .NET Common Language Runtime (CLR), enabling Ruby code to interoperate with .NET libraries and applications.
  • C. Matz's Ruby Interpreter
    Matz's Ruby Interpreter is the original and most widely used reference implementation of the Ruby programming language, created by Yukihiro "Matz" Matsumoto.
  • D. TruffleRuby
    TruffleRuby is a high-performance implementation of the Ruby programming language built on the GraalVM platform, aiming to provide faster execution and improved tooling compatibility.
  • E. Ruby
    Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c728948190a1cfc62f4038b6ec completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.