Triple
T4596104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quicksort |
E100207
|
entity |
| Predicate | spaceComplexityAverageCase |
P55525
|
FINISHED |
| Object | O(log n) |
—
|
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: O(log n) | Statement: [Quicksort, spaceComplexityAverageCase, O(log n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceComplexityAverageCase Context triple: [Quicksort, spaceComplexityAverageCase, O(log n)]
-
A.
spaceComplexity
chosen
Indicates the relationship between an algorithm and the amount of memory it requires as a function of input size.
-
B.
timeComplexity
Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
-
C.
averageOrder
Indicates the typical or mean value of orders associated with an entity over a given set or period.
-
D.
hasComplexity
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
-
E.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd594055dc8190a50f1b4be2be1ba0 |
completed | March 20, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.