Triple
T35335355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lévy processes |
E1020434
|
entity |
| Predicate | distributionClass |
P183037
|
FINISHED |
| Object | infinitely divisible distributions |
—
|
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: infinitely divisible distributions | Statement: [Lévy processes, distributionClass, infinitely divisible distributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributionClass Context triple: [Lévy processes, distributionClass, infinitely divisible distributions]
-
A.
distributionBy
Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
-
B.
distributionFor
Indicates a relationship where one entity serves as the distribution, delivery, or dissemination mechanism for another entity.
-
C.
classDistribution
Indicates how instances are proportionally or numerically distributed across different classes or categories within a dataset or grouping.
-
D.
distributionPattern
Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
-
E.
distributionBase
Indicates the primary location or facility from which something is distributed or supplied to other places.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.