Triple

T14931075
Position Surface form Disambiguated ID Type / Status
Subject Java Virtual Machine E372263 entity
Predicate hasImplementation P3697 FINISHED
Object GraalVM 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: GraalVM | Statement: [Java Virtual Machine, hasImplementation, GraalVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GraalVM
Context triple: [Java Virtual Machine, hasImplementation, GraalVM]
  • 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. 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.
  • C. K Virtual Machine
    K Virtual Machine is a lightweight Java virtual machine designed for resource-constrained devices such as mobile phones and embedded systems.
  • D. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • E. Eiffel runtime environment
    Eiffel runtime environment is the execution platform and supporting system that runs programs written in the Eiffel programming language, providing services such as memory management, exception handling, and support for Eiffel’s Design by Contract features.
  • 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.