Triple
T23154509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eclipse Vert.x |
E578403
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | Jython |
—
|
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: Jython | Statement: [Eclipse Vert.x, supportsLanguage, Jython]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jython Context triple: [Eclipse Vert.x, supportsLanguage, Jython]
-
A.
Jython
chosen
Jython is an implementation of the Python programming language that runs on the Java platform and allows seamless integration with Java code and libraries.
-
B.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
-
C.
Pythion
Pythion was an ancient city of Perrhaebia in northern Thessaly, Greece, likely known for its regional religious and strategic significance.
-
D.
IronPython
IronPython is an implementation of the Python programming language that runs on the .NET framework, allowing Python code to interoperate seamlessly with .NET libraries and applications.
-
E.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efbe9a08190bcb6e822b8eab544 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.