Triple
T1647595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M |
E35617
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data transformation language |
C11252
|
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: data transformation language Context triple: [M, instanceOf, data transformation language]
-
A.
database language
A database language is a specialized computer language used to define, manipulate, query, and control data and structures within a database management system.
-
B.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
C.
mathematical transformation
A mathematical transformation is a function or operation that systematically maps elements from one set or space to another, often altering their position, scale, orientation, or form while following defined rules.
-
D.
performance lake
A performance lake is a centralized repository that aggregates, stores, and organizes diverse performance-related data from multiple sources to enable comprehensive analysis, monitoring, and optimization.
-
E.
machine-readable data collection
A machine-readable data collection is an organized set of data stored in a structured digital format that can be automatically processed and interpreted by computer systems without human intervention.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.