Triple

T7874847
Position Surface form Disambiguated ID Type / Status
Subject Layer Normalization E182824 entity
Predicate normalizationAxis P67148 FINISHED
Object features within a single data sample 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: features within a single data sample | Statement: [Layer Normalization, normalizationAxis, features within a single data sample]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: normalizationAxis
Context triple: [Layer Normalization, normalizationAxis, features within a single data sample]
  • A. coordinateAxis chosen
    Indicates that one entity serves as a reference axis or directional basis for positioning, measuring, or orienting another entity in a coordinate system.
  • B. refinesNormalization
    Indicates that one normalization process or scheme improves, clarifies, or makes more precise another existing normalization.
  • C. normalizationAttempt
    Indicates an effort to convert something into a standard or consistent form according to defined rules or criteria.
  • D. primaryAxisUnits
    Indicates the units of measurement used along the primary axis in a coordinate system, chart, or spatial reference.
  • E. transportAxis
    Indicates a directional path or axis along which something is transported or moved from one location to another.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a961188190b2f12f8fe5d66641 completed March 31, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69cae928e1b88190b0620f4c4f03bc7d completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:56 p.m.