Triple
T8448918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adleman–Pomerance–Rumely primality test |
E199750
|
entity |
| Predicate | propertyTested |
P40583
|
FINISHED |
| Object | primality of an integer |
—
|
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: primality of an integer | Statement: [Adleman–Pomerance–Rumely primality test, propertyTested, primality of an integer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyTested Context triple: [Adleman–Pomerance–Rumely primality test, propertyTested, primality of an integer]
-
A.
haveProperty
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
B.
testedFor
chosen
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
-
C.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
D.
measuredProperty
Indicates that the subject is a measurement that quantifies or assesses the specified property of an entity.
-
E.
usesProp
Indicates that one entity employs, utilizes, or makes use of a particular property, resource, or object in performing an action or fulfilling a function.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe445b7988190b53ae45070c70d1d |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:09 p.m.