Triple
T21494158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat primality test |
E530310
|
entity |
| Predicate | isProbabilisticBecause |
P102500
|
FINISHED |
| Object | some composite numbers pass the test |
—
|
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: some composite numbers pass the test | Statement: [Fermat primality test, isProbabilisticBecause, some composite numbers pass the test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProbabilisticBecause Context triple: [Fermat primality test, isProbabilisticBecause, some composite numbers pass the test]
-
A.
probabilisticForm
chosen
Indicates that the relationship or action is expressed in terms of probabilities or likelihoods rather than as a definite or deterministic form.
-
B.
isDeterministic
Indicates that the outcome of a process or function is fully determined by its inputs, with no randomness or variation between executions.
-
C.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
-
D.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
-
E.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea567244819091863350fedae3ae |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:23 p.m.