Triple
T36151548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVL tree |
E1045598
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | self-balancing binary search tree |
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: self-balancing binary search tree Context triple: [AVL tree, instanceOf, self-balancing binary search tree]
-
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.
key–value storage library
A key–value storage library provides a simple interface to store, retrieve, and manage data as pairs of unique keys and associated values, often with efficient lookup and persistence capabilities.
-
E.
self-balancing personal transporter
A self-balancing personal transporter is a compact, motorized vehicle that uses gyroscopic sensors and dynamic stabilization to keep itself upright while carrying a single rider.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.