Triple
T32258237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OBDD |
E824078
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | graph-based data structure |
C26937
|
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-based data structure Context triple: [OBDD, instanceOf, graph-based data structure]
-
A.
tree data structure
A tree data structure is a hierarchical collection of nodes connected by edges, with a single root node and zero or more child nodes per parent, used to represent parent-child relationships and enable efficient data organization and traversal.
-
B.
directed graph
chosen
A directed graph is a set of vertices connected by edges that have a specific direction, indicating ordered relationships from one vertex to another.
-
C.
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.
-
D.
gravity-based structure
A gravity-based structure is a massive, stable construction that relies primarily on its own weight and the force of gravity, rather than anchors or piles, to resist external loads and remain securely in place.
-
E.
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.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:41 a.m.