Triple
T14394371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java bytecode |
E356918
|
entity |
| Predicate | usedByLanguage |
P907
|
FINISHED |
| Object | JRuby |
E96201
|
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: JRuby | Statement: [Java bytecode, usedByLanguage, JRuby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JRuby Context triple: [Java bytecode, usedByLanguage, JRuby]
-
A.
JRuby
chosen
JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
-
B.
IronRuby
IronRuby is an implementation of the Ruby programming language built to run on Microsoft's .NET Common Language Runtime (CLR), enabling Ruby code to interoperate with .NET libraries and applications.
-
C.
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.
-
D.
TruffleRuby
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.
-
E.
Ruby
Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551b006c8190b84449f2e2b59b62 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.