Triple
T23466518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BLAST |
E569115
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | similarity search 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: similarity search algorithm Context triple: [BLAST, instanceOf, similarity search algorithm]
-
A.
computer vision algorithm
A computer vision algorithm is a computational method that processes and interprets visual data from images or videos to automatically extract meaningful information or perform tasks such as detection, recognition, and segmentation.
-
B.
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.
-
C.
visual discovery engine
A visual discovery engine is a system that helps users explore and find relevant content, products, or ideas primarily through images and visual cues rather than text-based search.
-
D.
biological database search system
A biological database search system is a software tool that enables users to efficiently query, retrieve, and analyze biological data (such as sequences, structures, and annotations) from one or more integrated databases.
-
E.
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.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 5:54 p.m.