Triple

T736601
Position Surface form Disambiguated ID Type / Status
Subject Minkowski inequality E14946 entity
Predicate mathematicalDomain P7033 FINISHED
Object normed vector spaces 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: normed vector spaces | Statement: [Minkowski inequality, mathematicalDomain, normed vector spaces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mathematicalDomain
Context triple: [Minkowski inequality, mathematicalDomain, normed vector spaces]
  • A. mathematicallyUses
    Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
  • B. mathematicalSubjectClassification chosen
    Indicates that one entity classifies the mathematical subject area or field to which another entity (such as a work, concept, or topic) belongs.
  • C. mathematicallyExpressedBy
    Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
  • 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. codomain
    Indicates the set of all possible output values that a function or mapping can produce, regardless of which values are actually attained.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64adf2c81908e48090be35dd9d9 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4fc734c81908fbd36386d5746d6 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.