Triple
T6672544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawa |
E151765
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Java-based language implementation |
C5489
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Java-based language implementation Context triple: [Kawa, instanceOf, Java-based language implementation]
-
A.
programming language implementation
chosen
A programming language implementation is the concrete realization of a language’s specification, including its compiler or interpreter, runtime system, and associated tools that translate and execute programs written in that language.
-
B.
Java virtual machine
A Java Virtual Machine (JVM) is an abstract computing machine that loads, verifies, and executes Java bytecode, providing platform independence, memory management, and runtime services for Java applications.
-
C.
ML-family language
An ML-family language is a statically typed, functional-first programming language lineage characterized by type inference, algebraic data types, pattern matching, and a strong, expressive type system originating from the MetaLanguage (ML).
-
D.
Java platform component
A Java platform component is a modular part of the Java ecosystem—such as the JVM, core libraries, or development tools—that provides specific functionality enabling Java applications to run and be developed consistently across environments.
-
E.
Java platform edition
Java platform edition is a specific configuration of the Java platform (such as SE, EE, or ME) that defines a standardized set of APIs, libraries, and runtime capabilities tailored for a particular category of applications and deployment environments.
- F. None of above.
Provenance (1 batch)
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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
Created at: March 27, 2026, 2:03 p.m.