Triple

T24806889
Position Surface form Disambiguated ID Type / Status
Subject rhombicuboctahedron E620678 entity
Predicate isHighlySymmetrical P14255 FINISHED
Object true 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: true | Statement: [rhombicuboctahedron, isHighlySymmetrical, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isHighlySymmetrical
Context triple: [rhombicuboctahedron, isHighlySymmetrical, true]
  • A. symmetryOf
    Indicates that one entity is the symmetry counterpart or symmetric form of another entity, typically related by a specific symmetry operation or transformation.
  • B. isSymmetrical
    Indicates that an object, pattern, or configuration remains unchanged or mirrored when transformed by a symmetry operation such as reflection, rotation, or inversion.
  • C. symmetryInvolved
    Indicates that a relationship or action inherently involves symmetry, such as invariance under certain transformations or the presence of symmetric structure or behavior.
  • D. isMaximallySymmetric chosen
    Indicates that the subject exhibits the highest possible degree of symmetry allowed by the relevant structure, constraints, or context.
  • E. localSymmetry
    Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
  • 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_69e2fabf26bc8190b191faac8f67065b completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42d9000b8819081ea2605f3c193d6 completed May 1, 2026, 4:35 a.m.
PD Predicate disambiguation batch_69f420f471a0819095a6cd24ed8f7476 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 4:50 a.m.