Triple

T19771994
Position Surface form Disambiguated ID Type / Status
Subject Cascade-Correlation learning architecture E474908 entity
Predicate initialTopology P33738 FINISHED
Object network starts with no hidden units 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: network starts with no hidden units | Statement: [Cascade-Correlation learning architecture, initialTopology, network starts with no hidden units]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialTopology
Context triple: [Cascade-Correlation learning architecture, initialTopology, network starts with no hidden units]
  • A. usesTopology
    Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by another entity.
  • B. isTopological
    Indicates that something possesses the properties or structure required to be considered a topology in the relevant mathematical or spatial context.
  • C. typicalTopology chosen
    Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
  • D. hasTopology
    Indicates that one entity possesses, exhibits, or is characterized by a particular structural or spatial configuration defined by the other entity.
  • E. initialStatus
    Indicates the original or starting state assigned to an entity before any changes or updates occur.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ce4d08190a1dfca2df95a8631 completed April 20, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69e53053ed2881908400becdfada7fd3 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:48 p.m.