Triple
T26966719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RP |
E679190
|
entity |
| Predicate | canonicalExampleProblem |
P127119
|
FINISHED |
| Object | primality testing before deterministic polynomial-time algorithms were discovered |
—
|
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 testing before deterministic polynomial-time algorithms were discovered | Statement: [RP, canonicalExampleProblem, primality testing before deterministic polynomial-time algorithms were discovered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalExampleProblem Context triple: [RP, canonicalExampleProblem, primality testing before deterministic polynomial-time algorithms were discovered]
-
A.
typicalProblem
Indicates that a situation, issue, or obstacle is representative or characteristic of the usual problems encountered in a given context.
-
B.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
-
C.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
D.
centralExample
chosen
Indicates that one entity serves as the primary or most representative example of another entity or concept.
-
E.
majorExample
Indicates that one entity serves as a primary or most significant example or instance of another entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 6:36 a.m.