Triple
T21494333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat pseudoprime |
E530313
|
entity |
| Predicate | hasTestingIssue |
P114170
|
FINISHED |
| Object | can cause Fermat primality test to falsely label a composite as prime |
—
|
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: can cause Fermat primality test to falsely label a composite as prime | Statement: [Fermat pseudoprime, hasTestingIssue, can cause Fermat primality test to falsely label a composite as prime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTestingIssue Context triple: [Fermat pseudoprime, hasTestingIssue, can cause Fermat primality test to falsely label a composite as prime]
-
A.
hasIssueWith
chosen
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
B.
hasInternalIssue
Indicates that an entity is experiencing a problem, fault, or malfunction originating within itself or its internal components or processes.
-
C.
hasNoIssue
Indicates that there are no problems, defects, or conflicts associated with the referenced entity or situation.
-
D.
containsIssue
Indicates that one entity includes, encompasses, or has within it a particular issue, problem, or defect.
-
E.
hasTargetIssue
Indicates that an entity is associated with or directed toward a specific issue, problem, or concern as its focus.
- 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.