Triple

T13894014
Position Surface form Disambiguated ID Type / Status
Subject Hadamard inequality E334041 entity
Predicate usesNorm P22982 FINISHED
Object Euclidean norm E121352 NE FINISHED

How this triple was built (3 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: Euclidean norm | Statement: [Hadamard inequality, usesNorm, Euclidean norm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euclidean norm
Context triple: [Hadamard inequality, usesNorm, Euclidean norm]
  • A. Euclidean metric chosen
    The Euclidean metric is the standard distance function on Euclidean space, defined by the square root of the sum of squared coordinate differences between two points.
  • B. Euclidean space
    Euclidean space is the standard flat, n-dimensional geometric setting of classical geometry and vector calculus, characterized by straight lines, right angles, and the usual distance and dot product.
  • C. Bombieri norm
    The Bombieri norm is a mathematical norm on polynomials, introduced by Enrico Bombieri, that is particularly useful in analytic number theory and the study of polynomial inequalities.
  • D. Chebyshev distance (L-infinity metric)
    Chebyshev distance (L-infinity metric) is a distance measure on a grid or in n-dimensional space defined as the maximum absolute difference along any coordinate axis between two points.
  • E. Banach–Mazur distance
    The Banach–Mazur distance is a numerical measure in functional analysis that quantifies how "far apart" two finite-dimensional normed vector spaces are up to linear isomorphism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesNorm
Context triple: [Hadamard inequality, usesNorm, Euclidean norm]
  • A. hasNorm chosen
    Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
  • B. normIs
    Indicates that something conforms to, or is characterized by, a particular standard, rule, or norm.
  • C. normativeFor
    Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
  • D. usesNormalization
    Indicates that one entity applies or relies on a normalization process or technique in relation to another entity or data.
  • E. normativelyIncludes
    Indicates that one norm or rule encompasses, subsumes, or otherwise includes another within its prescribed scope or requirements.
  • F. None of above.

Provenance (4 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71ca8a881908ac02687fbfe62fb completed May 3, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69dd464b1ab48190ae50bfc902bf6ef7 completed April 13, 2026, 7:38 p.m.
Created at: April 9, 2026, 10:15 p.m.