Triple
T32414666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gremlin API |
E828307
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | graph query language |
C60399
|
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: graph query language Context triple: [Gremlin API, instanceOf, graph query language]
-
A.
SPARQL query engine
A SPARQL query engine is a software component that parses, optimizes, and executes SPARQL queries over RDF data sources to retrieve and manipulate semantic web data.
-
B.
knowledge graph
A knowledge graph is a structured representation of entities and their relationships, typically modeled as nodes and edges, enabling machines to integrate, reason over, and derive insights from interconnected data.
-
C.
object-oriented query language
An object-oriented query language is a high-level language that allows users to retrieve and manipulate data by expressing queries in terms of objects, their attributes, and relationships, using object-oriented concepts like classes, inheritance, and methods.
-
D.
GPU-accelerated graph analytics library
A GPU-accelerated graph analytics library is a software framework that leverages graphics processing units to perform high-performance computations on large-scale graph data structures, enabling faster execution of algorithms such as traversal, centrality, and community detection.
-
E.
SPARQL endpoint
A SPARQL endpoint is a web-accessible service that accepts SPARQL queries and returns results from an underlying RDF dataset.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:53 a.m.