Triple
T4596131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quicksort |
E100207
|
entity |
| Predicate | worstCaseOccursWhen |
P12708
|
FINISHED |
| Object | array is already sorted with poor pivot choice |
—
|
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: array is already sorted with poor pivot choice | Statement: [Quicksort, worstCaseOccursWhen, array is already sorted with poor pivot choice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worstCaseOccursWhen Context triple: [Quicksort, worstCaseOccursWhen, array is already sorted with poor pivot choice]
-
A.
occursWhen
chosen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
B.
isMaximumWhen
Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
-
C.
worstAccidentInSystem
Indicates that an accident is the most severe or damaging one within a given system or context.
-
D.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
E.
occursAt
Indicates that an event or action takes place at a specific time or location.
- 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.