Triple
T32708318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JPQL |
E836332
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | object-oriented query language |
C59613
|
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: object-oriented query language Context triple: [JPQL, instanceOf, object-oriented query language]
-
A.
object-oriented specification language
An object-oriented specification language is a formal language used to precisely describe the structure, behavior, and constraints of object-oriented systems without necessarily providing an executable implementation.
-
B.
object database management system
An object database management system is a database system that stores, manages, and retrieves data as objects, integrating database capabilities with object-oriented programming concepts.
-
C.
Object-Document Mapper
An Object-Document Mapper is a software component that maps in-memory objects to document-oriented database representations and vice versa, handling persistence, retrieval, and schema translation between object models and document structures.
-
D.
Object-relational mapping framework
An object-relational mapping framework is a software layer that automatically maps objects in application code to records in a relational database, allowing developers to interact with data using object-oriented paradigms instead of SQL.
-
E.
object-oriented framework
An object-oriented framework is a reusable, extensible software structure that defines cooperating classes and interfaces to provide a common architecture for building applications in a specific domain.
- F. None of above. chosen
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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:10 a.m.