Triple
T14030483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fibonacci search |
E337573
|
entity |
| Predicate | averageCaseTimeComplexity |
P27167
|
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: [Fibonacci search, averageCaseTimeComplexity, O(log n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageCaseTimeComplexity Context triple: [Fibonacci search, averageCaseTimeComplexity, O(log n)]
-
A.
timeComplexity
chosen
Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
-
B.
spaceComplexity
Indicates the relationship between an algorithm and the amount of memory it requires as a function of input size.
-
C.
typicalComplexity
Indicates the usual or characteristic level of complexity associated with an entity, process, or situation.
-
D.
averageOrder
Indicates the typical or mean value of orders associated with an entity over a given set or period.
-
E.
averageGradient
Indicates the mean rate of change (slope) of a quantity over a specified interval or region.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.