Triple

T22550196
Position Surface form Disambiguated ID Type / Status
Subject heavy quark effective theory E557537 entity
Predicate exploitsSymmetry P12998 FINISHED
Object heavy quark spin symmetry 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: heavy quark spin symmetry | Statement: [heavy quark effective theory, exploitsSymmetry, heavy quark spin symmetry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exploitsSymmetry
Context triple: [heavy quark effective theory, exploitsSymmetry, heavy quark spin symmetry]
  • A. symmetryInvolved
    Indicates that a relationship or action inherently involves symmetry, such as invariance under certain transformations or the presence of symmetric structure or behavior.
  • B. symmetryOf
    Indicates that one entity is the symmetry counterpart or symmetric form of another entity, typically related by a specific symmetry operation or transformation.
  • C. localSymmetry
    Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
  • D. usesSymmetryGroup chosen
    Indicates that one entity employs or is based on a particular symmetry group in its structure, behavior, or formulation.
  • E. testsSymmetry
    Indicates that one entity evaluates or verifies whether a relationship or property holds identically in both directions between two entities.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7546c4819099942c86ca522a60 completed April 29, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69e898cb3fb48190add6ab24a2df5822 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:52 p.m.