Triple
T18051225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heapq |
E431929
|
entity |
| Predicate | timeComplexityNsmallest |
P27167
|
FINISHED |
| Object | O(n log k) |
—
|
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(n log k) | Statement: [heapq, timeComplexityNsmallest, O(n log k)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeComplexityNsmallest Context triple: [heapq, timeComplexityNsmallest, O(n log k)]
-
A.
timeComplexity
chosen
Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
-
B.
isSmallestOf
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
C.
spaceComplexity
Indicates the relationship between an algorithm and the amount of memory it requires as a function of input size.
-
D.
minimalNorm
Indicates that among a set of possible values or solutions, this one has the smallest norm (magnitude) according to a specified norm measure.
-
E.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.