Triple

T17675454
Position Surface form Disambiguated ID Type / Status
Subject Active Support E440631 entity
Predicate compatibleWith P203 FINISHED
Object TruffleRuby 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: TruffleRuby | Statement: [Active Support, compatibleWith, TruffleRuby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TruffleRuby
Context triple: [Active Support, compatibleWith, TruffleRuby]
  • A. TruffleRuby chosen
    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.
  • B. 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.
  • C. Rubinius
    Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
  • D. JRuby
    JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
  • E. Ruby 3.x
    Ruby 3.x is a major modern release of the Ruby programming language focused on performance improvements, concurrency features, and enhanced developer productivity.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6cca54819094ea0bed1517724e completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.