Triple

T14931074
Position Surface form Disambiguated ID Type / Status
Subject Java Virtual Machine E372263 entity
Predicate hasImplementation P3697 FINISHED
Object OpenJ9 JVM E1096557 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: OpenJ9 JVM | Statement: [Java Virtual Machine, hasImplementation, OpenJ9 JVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenJ9 JVM
Context triple: [Java Virtual Machine, hasImplementation, OpenJ9 JVM]
  • A. OpenJ9 JVM chosen
    OpenJ9 JVM is a high-performance, open-source Java Virtual Machine implementation designed for efficient execution of Java applications with low memory footprint and fast startup.
  • B. OpenJDK
    OpenJDK is the official open-source implementation of the Java Platform, Standard Edition, providing the core Java runtime and development tools used across the industry.
  • C. Eclipse Temurin
    Eclipse Temurin is a popular, open-source, production-ready distribution of the Java Development Kit (JDK) provided by the Eclipse Adoptium project.
  • D. 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.
  • E. Java 9
    Java 9 is a major release of the Java platform that introduced the module system (Project Jigsaw) and various performance, tooling, and API enhancements.
  • 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.