Triple
T8067192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power BI dataset or model |
E188272
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tabular data model |
C18774
|
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: tabular data model Context triple: [Power BI dataset or model, instanceOf, tabular data model]
-
A.
data model
chosen
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A bibliographic data model is a structured framework that defines how information about published and unpublished resources (such as books, articles, and digital media) is represented, organized, and related for purposes of description, discovery, and management.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.
row-oriented storage format
A row-oriented storage format is a data layout where all the column values for each record are stored together contiguously, optimizing for transactional workloads that frequently read or write entire rows.
-
D.
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.
-
E.
RDBMS
An RDBMS (Relational Database Management System) is software that stores, organizes, and manages data in structured tables with defined relationships, enabling efficient querying, updating, and administration using 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:26 p.m.