Triple
T6042529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMSProp |
E134579
|
entity |
| Predicate | updateRuleIncludes |
P24476
|
FINISHED |
| Object | division by root mean square of recent squared gradients |
—
|
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: division by root mean square of recent squared gradients | Statement: [RMSProp, updateRuleIncludes, division by root mean square of recent squared gradients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: updateRuleIncludes Context triple: [RMSProp, updateRuleIncludes, division by root mean square of recent squared gradients]
-
A.
renamedToInclude
Indicates that an entity has been renamed so that its new name explicitly includes another specified element (such as a term, identifier, or component).
-
B.
typicalRuleModification
chosen
Indicates a change made to a standard or default rule, adjusting how that rule normally applies or operates.
-
C.
usesRulesFrom
Indicates that one entity applies, follows, or is governed by the rules defined or provided by another entity.
-
D.
updatesSpecificationOf
Indicates that one entity revises, modifies, or replaces the existing specification of another entity.
-
E.
setsRulesFor
Indicates that one entity establishes or defines rules, guidelines, or constraints that another entity is expected to follow.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e108fc81908775d176ff960fad |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.