Triple
T34302617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellman–Ford algorithm |
E880220
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | single-source shortest path algorithm |
C6819
|
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: single-source shortest path algorithm Context triple: [Bellman–Ford algorithm, instanceOf, single-source shortest path algorithm]
-
A.
algorithm
chosen
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
-
B.
advanced distance-vector routing protocol
An advanced distance-vector routing protocol is a network routing method that enhances traditional distance-vector algorithms with features like triggered updates, route poisoning, split horizon, and loop prevention mechanisms to achieve faster convergence and more reliable path selection.
-
C.
directed graph
A directed graph is a set of vertices connected by edges that have a specific direction, indicating ordered relationships from one vertex to another.
-
D.
distance function
A distance function is a rule that assigns a non-negative real number to quantify how far apart two elements are in a given space, typically satisfying properties like non-negativity, identity, symmetry, and the triangle inequality.
-
E.
path vector protocol
A path vector protocol is a type of routing protocol that advertises network reachability information along with the full path (sequence of autonomous systems or routers) to each destination, enabling loop avoidance and policy-based routing decisions.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:57 a.m.