Triple
T28330067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Log-Structured Merge-Tree |
E717514
|
entity |
| Predicate | disadvantageComparedToBTree |
P23701
|
FINISHED |
| Object | higher read amplification |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: higher read amplification | Statement: [Log-Structured Merge-Tree, disadvantageComparedToBTree, higher read amplification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disadvantageComparedToBTree Context triple: [Log-Structured Merge-Tree, disadvantageComparedToBTree, higher read amplification]
-
A.
disadvantageComparedToHDD
Indicates that one entity is less favorable or performs worse than a hard disk drive (HDD) in some specified aspect or context.
-
B.
worstCasePerformanceComparedToQuicksort
Indicates that the worst-case performance of one algorithm is being compared to that of the Quicksort algorithm.
-
C.
disadvantageComparedToSATA
Indicates that something has a drawback, limitation, or weaker performance when compared to SATA.
-
D.
differenceFromBinarySearchTree
Indicates the degree or nature of deviation between a given structure or ordering and that of a valid binary search tree.
-
E.
isLessEfficientThan
chosen
Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
- F. None of above.
Provenance (3 batches)
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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f649322d1881909297d1b1c607937d |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:31 a.m.