Triple
T816095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jython |
E17654
|
entity |
| Predicate | enablesIntegrationWith |
P16507
|
FINISHED |
| Object | Java code |
—
|
LITERAL 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: Java code | Statement: [Jython, enablesIntegrationWith, Java code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesIntegrationWith Context triple: [Jython, enablesIntegrationWith, Java code]
-
A.
typeOfIntegration
Indicates the specific kind or category of integration that exists or is applied between systems, components, or processes.
-
B.
integratesService
chosen
Indicates that one entity connects with and enables the functionality of another service so they work together as a unified system.
-
C.
integratedIn
Indicates that one entity is incorporated as a component or part within a larger system, structure, or context represented by another entity.
-
D.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
E.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
- F. None of above.
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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5157b08190b6c8f2fd455f261e |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa756920819080ae82948974c876 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.