Triple
T7898186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mongoose |
E183384
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Object Data Modeling library |
C10368
|
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 Data Modeling library Context triple: [Mongoose, instanceOf, Object Data Modeling library]
-
A.
data model
A data model is an abstract, structured representation of data and its relationships, designed to organize, define, and constrain how information is stored, accessed, and manipulated within a system.
-
B.
bibliographic data model
A bibliographic data model is a structured framework that defines how information about published and unpublished resources (such as books, articles, and digital media) is represented, organized, and related for purposes of description, discovery, and management.
-
C.
data access API
chosen
A data access API is an interface that provides standardized methods for applications to create, read, update, and delete data from underlying storage systems while abstracting away implementation details.
-
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.
visual modeling language
A visual modeling language is a formal system that uses graphical notations (such as diagrams, symbols, and connectors) to represent, design, and communicate the structure and behavior of complex 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:01 p.m.