Triple

T22819661
Position Surface form Disambiguated ID Type / Status
Subject Randomized ReLU E565191 entity
Predicate negativeSlopeSampledFrom P149869 FINISHED
Object uniform 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: uniform distribution | Statement: [Randomized ReLU, negativeSlopeSampledFrom, uniform distribution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: negativeSlopeSampledFrom
Context triple: [Randomized ReLU, negativeSlopeSampledFrom, uniform distribution]
  • A. negativeValuesObservedIn
    Indicates that negative numerical values have been detected or recorded within the referenced entity or dataset.
  • B. negativeWidth
    Indicates that the width of an entity or object is less than zero, representing an invalid or contradictory dimensional value.
  • C. negativeFormulation
    Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
  • D. negativePhaseAssociatedWith
    Indicates an association between something and a negative or unfavorable phase, state, or stage in a process or condition.
  • E. negativeArea
    Indicates that the specified region or shape has an area value that is less than zero, typically signaling an invalid, inverted, or error condition in geometric or spatial computations.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcf39a88190bec26affc304236d completed April 29, 2026, 3:41 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb577e2081909f4a4e9c296535c0 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:33 p.m.