Triple
T17560705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generalized Search Tree |
E427689
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | balanced tree data structure |
C15507
|
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: balanced tree data structure Context triple: [Generalized Search Tree, instanceOf, balanced tree data structure]
-
A.
self-balancing search tree
chosen
A self-balancing search tree is a binary search tree that automatically adjusts its structure during insertions and deletions to maintain near-optimal height for efficient search, insertion, and deletion operations.
-
B.
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.
-
C.
tree
A tree is a perennial plant with an elongated stem or trunk, supporting branches and leaves, that forms part of a larger ecosystem by providing habitat, oxygen, and resources.
-
D.
pair of trees
A pair of trees represents two individual tree objects considered together as a single conceptual unit, often to model relationships, comparisons, or combined properties between them.
-
E.
data structure utility
A data structure utility is a helper component that provides common operations, transformations, and management functions for various data structures to simplify and standardize their use in applications.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.