Triple

T3507230
Position Surface form Disambiguated ID Type / Status
Subject Gradient-based learning applied to document recognition E74104 entity
Predicate mainMethod P44371 FINISHED
Object convolutional neural networks 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: convolutional neural networks | Statement: [Gradient-based learning applied to document recognition, mainMethod, convolutional neural networks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainMethod
Context triple: [Gradient-based learning applied to document recognition, mainMethod, convolutional neural networks]
  • A. mainProcedureCode
    Indicates the primary medical or procedural code that represents the main procedure performed or billed in a clinical or administrative context.
  • B. mainFunctions
    Indicates that the subject serves as the primary or central functional component or role for the object.
  • C. mainEntranceOn
    Indicates that the primary entrance of one entity is located on or faces toward another entity, such as a particular side, street, or boundary.
  • D. programEntryMethod chosen
    Indicates that a method serves as the starting point or main entry method for executing a program or component.
  • E. mainRite
    Indicates that one ritual, ceremony, or rite is the primary or central rite associated with a given context, entity, or event.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf52bd8819085a2ac5f48cc5c68 completed March 8, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69adae0e770481908528fa35eda53003 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.