Triple

T18791165
Position Surface form Disambiguated ID Type / Status
Subject Heapsort E459516 entity
Predicate numberOfComparisonsWorstCase P27167 FINISHED
Object O(n 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(n log n) | Statement: [Heapsort, numberOfComparisonsWorstCase, O(n log n)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfComparisonsWorstCase
Context triple: [Heapsort, numberOfComparisonsWorstCase, O(n 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. comparisonMethod
    Indicates the method or criteria used to compare two or more entities or values.
  • C. comparisonClass
    Indicates that something is being evaluated or interpreted relative to a specified reference group or standard for comparison.
  • D. comparisonType
    Indicates the specific kind of comparison being made between two or more values or entities (e.g., equality, inequality, ordering, or similarity).
  • E. comparisonResult
    Indicates the outcome of comparing two entities, typically expressing whether one is less than, equal to, or greater than the other.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978665388190aaefed0ec30a1ff3 completed April 20, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e48d16dd34819096e096d0c0e4c15c completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.