Triple

T6042461
Position Surface form Disambiguated ID Type / Status
Subject ReLU E134578 entity
Predicate outputForPositiveInput P62366 FINISHED
Object x 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: x | Statement: [ReLU, outputForPositiveInput, x]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outputForPositiveInput
Context triple: [ReLU, outputForPositiveInput, x]
  • A. primaryOutput
    Indicates that the related entity is the main or principal result, product, or outcome produced by another entity or process.
  • B. outputFunction chosen
    Indicates that one entity serves as the function or procedure responsible for producing or returning the output of another entity or process.
  • C. hasPositiveForm
    Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
  • D. outputOf
    Indicates that one entity is the result or product generated by the processing, operation, or behavior of another entity.
  • E. oppositeNumber
    Indicates that one number is the additive inverse of the other, such that their sum equals zero.
  • 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.