Triple
T15502456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khinchin's law of the iterated logarithm |
E378993
|
entity |
| Predicate | givesInformationOn |
P98094
|
FINISHED |
| Object | maximal fluctuations of partial sums |
—
|
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: maximal fluctuations of partial sums | Statement: [Khinchin's law of the iterated logarithm, givesInformationOn, maximal fluctuations of partial sums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesInformationOn Context triple: [Khinchin's law of the iterated logarithm, givesInformationOn, maximal fluctuations of partial sums]
-
A.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
B.
providedInformationOn
Indicates that one entity supplied or communicated specific information or details to another entity.
-
C.
collectsInformationOn
Indicates that one entity gathers or acquires data, facts, or details about another entity.
-
D.
offersInformationOn
chosen
Indicates that one entity provides or makes available information about another entity or topic.
-
E.
providedInformationTo
Indicates that one entity has supplied or communicated information to 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:54 a.m.