Triple
T36522902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EOQualifier |
E900222
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | query predicate abstraction |
C63659
|
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: query predicate abstraction Context triple: [EOQualifier, instanceOf, query predicate abstraction]
-
A.
topological predicate
A topological predicate is a logical condition that evaluates spatial relationships (such as adjacency, containment, or overlap) between geometric objects based on their topological properties.
-
B.
SQL query engine
A SQL query engine is a software component that parses, optimizes, and executes SQL statements against one or more data sources to retrieve, manipulate, or manage structured data.
-
C.
doctrine of conditional predication
The doctrine of conditional predication is a logical and philosophical principle stating that a subject can be truly predicated of a property or attribute only under certain specified conditions or circumstances.
-
D.
query optimizer
A query optimizer is a database system component that automatically determines the most efficient way to execute a given query by evaluating and comparing alternative execution plans.
-
E.
GPU-accelerated query engine
A GPU-accelerated query engine is a data processing system that leverages graphics processing units to execute database queries in parallel, dramatically improving performance for analytical and large-scale workloads.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.