Triple

T29734313
Position Surface form Disambiguated ID Type / Status
Subject Type IIA string theory E752413 entity
Predicate hasLeftRightSymmetry P50368 FINISHED
Object yes 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: yes | Statement: [Type IIA string theory, hasLeftRightSymmetry, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLeftRightSymmetry
Context triple: [Type IIA string theory, hasLeftRightSymmetry, yes]
  • 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. isSymmetricAbout
    Indicates that one entity is a mirror image of another with respect to a specified axis, point, or plane of symmetry.
  • C. isSymmetrical chosen
    Indicates that an object, pattern, or configuration remains unchanged or mirrored when transformed by a symmetry operation such as reflection, rotation, or inversion.
  • D. symmetryInvolved
    Indicates that a relationship or action inherently involves symmetry, such as invariance under certain transformations or the presence of symmetric structure or behavior.
  • E. isSymmetric
    Indicates that a relationship holds in both directions between two entities, so if it applies from A to B, it also applies from B to A.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
Created at: April 28, 2026, 7:44 p.m.