Triple

T3987375
Position Surface form Disambiguated ID Type / Status
Subject Ulam spiral E86904 entity
Predicate visualProperty P11599 FINISHED
Object rotational symmetry of the underlying square spiral 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: rotational symmetry of the underlying square spiral | Statement: [Ulam spiral, visualProperty, rotational symmetry of the underlying square spiral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualProperty
Context triple: [Ulam spiral, visualProperty, rotational symmetry of the underlying square spiral]
  • A. visualElements
    Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
  • B. visualizationLibrary
    Indicates that an entity uses, depends on, or is implemented with a particular visualization library for rendering or displaying visual data.
  • C. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • D. visualForm chosen
    Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
  • E. graphics
    Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.