Triple

T31943975
Position Surface form Disambiguated ID Type / Status
Subject Cabibbo theory E815596 entity
Predicate typicalCabibboAngleValue P133697 FINISHED
Object approximately 13 degrees 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: approximately 13 degrees | Statement: [Cabibbo theory, typicalCabibboAngleValue, approximately 13 degrees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCabibboAngleValue
Context triple: [Cabibbo theory, typicalCabibboAngleValue, approximately 13 degrees]
  • A. relatedMixingAngle
    Indicates that there is a specified relationship between entities involving a particular mixing angle parameter (typically linking or comparing their mixing properties).
  • B. gaugeCoupling
    Indicates the strength of interaction between fields or particles as defined by a specific gauge symmetry in a physical theory.
  • C. typicalFermionMass
    Indicates the characteristic or representative mass value associated with a given type of fermion.
  • D. CKMMatrixElement
    Indicates the numerical value of a specific element in the Cabibbo–Kobayashi–Maskawa (CKM) matrix that quantifies the strength of quark flavor-changing transitions in weak interactions.
  • E. hasTypicalAngle chosen
    Indicates that there is a characteristic or commonly occurring angle associated with the relationship between the 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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379eaa540819095a1c5d9f3513f9b completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:06 a.m.