Triple
T33761039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brun combinatorial sieve |
E865105
|
entity |
| Predicate | aimsToEstimate |
P64674
|
FINISHED |
| Object | distribution of integers free of small prime factors |
—
|
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: distribution of integers free of small prime factors | Statement: [Brun combinatorial sieve, aimsToEstimate, distribution of integers free of small prime factors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToEstimate Context triple: [Brun combinatorial sieve, aimsToEstimate, distribution of integers free of small prime factors]
-
A.
aimsToMeasure
Indicates that one entity is intended or designed to quantify, assess, or evaluate another entity or property.
-
B.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
aimsToModel
Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties of another entity.
-
D.
approximateEstimation
Indicates an estimation relationship where one value or assessment is only roughly or closely, but not exactly, equal to another.
-
E.
evaluationTarget
Indicates that something is the object, subject, or focus being assessed, judged, or analyzed in an evaluation process.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.