Triple

T17872300
Position Surface form Disambiguated ID Type / Status
Subject Bianchi type cosmologies E446863 entity
Predicate hasMathematicalFramework P4746 FINISHED
Object orthonormal frame formalism 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: orthonormal frame formalism | Statement: [Bianchi type cosmologies, hasMathematicalFramework, orthonormal frame formalism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMathematicalFramework
Context triple: [Bianchi type cosmologies, hasMathematicalFramework, orthonormal frame formalism]
  • A. mathematicallyFormulatedIn
    Indicates that something is expressed, defined, or represented using mathematical formulas, equations, or formal mathematical structures within a given context.
  • B. hasMathematicalDiscipline
    Indicates that one entity is associated with or characterized by a particular branch or field of mathematics.
  • C. hasMathematicalProperty
    Indicates that one entity possesses or exhibits a specific mathematical property or characteristic.
  • D. mathematicallyFormulatedBy
    Indicates that something (such as a concept, model, or theory) is expressed or defined using mathematical formulations created by a particular agent.
  • E. mathematicallyUses chosen
    Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa3cd248190a13a8209ba44fd3b completed April 19, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:18 a.m.