Triple
T25677110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantor–Zassenhaus algorithm |
E643836
|
entity |
| Predicate | successProbability |
P7192
|
FINISHED |
| Object | high for each random trial |
—
|
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: high for each random trial | Statement: [Cantor–Zassenhaus algorithm, successProbability, high for each random trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successProbability Context triple: [Cantor–Zassenhaus algorithm, successProbability, high for each random trial]
-
A.
successRate
chosen
Indicates the proportion or frequency with which attempts at a given action or process result in a successful outcome.
-
B.
successPeriod
Indicates the time span during which a particular action, process, or entity is considered successful or yields successful outcomes.
-
C.
successMetric
Indicates the specific criterion or measure used to evaluate whether an action, process, or relationship has achieved its intended success.
-
D.
relativeSuccess
Indicates a comparison of how successful one entity is relative to another or to a defined benchmark.
-
E.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 21, 2026, 7:40 p.m.