Triple
T19997939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frontier scripting environment |
E494244
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | object database |
C31646
|
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 database Context triple: [Frontier scripting environment, instanceOf, object database]
-
A.
object database management system
chosen
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.
-
B.
database
A database is an organized collection of structured or unstructured data stored and managed in a way that enables efficient retrieval, modification, and administration.
-
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 tool
An object–relational mapping tool is a software library or framework that automatically maps objects in application code to rows in a relational database, allowing developers to work with data using object-oriented paradigms instead of SQL.
-
E.
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.
- F. None of above.
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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 11, 2026, 3:32 p.m.