Triple
T22423106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős–Kac theorem |
E554297
|
entity |
| Predicate | limitDistribution |
P148124
|
FINISHED |
| Object | standard normal distribution |
—
|
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: standard normal distribution | Statement: [Erdős–Kac theorem, limitDistribution, standard normal distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitDistribution Context triple: [Erdős–Kac theorem, limitDistribution, standard normal distribution]
-
A.
distributionFor
Indicates a relationship where one entity serves as the distribution, delivery, or dissemination mechanism for another entity.
-
B.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
-
C.
distributionVia
Indicates that something is delivered, supplied, or made available through a particular channel, medium, or intermediary.
-
D.
distributionBy
Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
-
E.
targetDistribution
Indicates the intended allocation or spread of something (such as resources, data, or outputs) across specified targets or recipients.
- F. None of above. chosen
Provenance (4 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2af620819083338127e78137dc |
completed | April 29, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.