Triple

T4442376
Position Surface form Disambiguated ID Type / Status
Subject TruffleRuby E96202 entity
Predicate usesTechnology P1485 FINISHED
Object Graal JIT compiler E356913 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: Graal JIT compiler | Statement: [TruffleRuby, usesTechnology, Graal JIT compiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graal JIT compiler
Context triple: [TruffleRuby, usesTechnology, Graal JIT compiler]
  • A. Oracle GraalVM chosen
    Oracle GraalVM is a high-performance, polyglot virtual machine from Oracle that accelerates Java and other language runtimes and enables ahead-of-time native image compilation.
  • B. HotSpot JVM
    HotSpot JVM is a high-performance Java Virtual Machine known for its advanced just-in-time compilation and adaptive optimization techniques, originally developed by Sun Microsystems.
  • C. Nashorn
    Nashorn was a German World War II tank destroyer armed with a powerful 88 mm gun and built on a modified Panzer IV chassis.
  • D. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • E. ZGC
    ZGC is a low-latency, scalable garbage collector for the HotSpot JVM designed to handle very large heaps with minimal pause times.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355aef21c819088f168a23f1933a6 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61382d00481908b7c84f337b5cad7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.