Triple
T18015106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLAlchemy |
E430980
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | object–relational mapping library |
C23128
|
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–relational mapping library Context triple: [SQLAlchemy, instanceOf, object–relational mapping library]
-
A.
Object–relational mapping tool
chosen
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
database access component
A database access component is a software module responsible for establishing connections, executing queries, and managing data exchange between an application and its underlying database systems.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:24 a.m.