Triple
T17674460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YARV virtual machine |
E440610
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | CRuby |
—
|
NE NERFINISHED |
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: CRuby | Statement: [YARV virtual machine, usedIn, CRuby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRuby Context triple: [YARV virtual machine, usedIn, CRuby]
-
A.
CRuby
chosen
CRuby is the standard, reference implementation of the Ruby programming language, written in C and originally created by Yukihiro "Matz" Matsumoto.
-
B.
JRuby
JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
-
C.
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.
-
D.
Ruby Port
Ruby Port is a young, fruit-forward fortified wine from Portugal’s Douro Valley, typically deep red in color and aged briefly in large casks to preserve its vibrant character.
-
E.
Ruby
Ruby is a character from the children's animated television series "Dot.," which follows a young tech-savvy girl and her friends as they explore the world using technology and curiosity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.