Triple

T1116783
Position Surface form Disambiguated ID Type / Status
Subject Learning representations by back-propagating errors E11117 entity
Predicate relatedAlgorithm P25130 FINISHED
Object backpropagation 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: backpropagation | Statement: [Learning representations by back-propagating errors, relatedAlgorithm, backpropagation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedAlgorithm
Context triple: [Learning representations by back-propagating errors, relatedAlgorithm, backpropagation]
  • A. algorithmType
    Indicates the specific kind or category of algorithm associated with an entity or process.
  • B. relatedCode
    Indicates that one code is associated with, linked to, or otherwise contextually connected to another code.
  • C. relatedRFC
    Indicates that one resource or specification is connected or associated with another through a shared or relevant RFC (Request for Comments) document.
  • D. relatedMIC
    Indicates that there exists a relationship or connection between entities involving a MIC (Minimum Inhibitory Concentration) context, such as shared, comparable, or associated MIC values or measurements.
  • E. relatedTest
    Indicates that there exists some form of connection or association between one test and another.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc47fce48190825d3a877251f789 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:43 p.m.