Triple

T17341033
Position Surface form Disambiguated ID Type / Status
Subject Banach–Mazur distance E421065 entity
Predicate relatedConcept P37 FINISHED
Object Banach–Mazur compactum NE ONNED1

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: Banach–Mazur compactum | Statement: [Banach–Mazur distance, relatedConcept, Banach–Mazur compactum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banach–Mazur compactum
Context triple: [Banach–Mazur distance, relatedConcept, Banach–Mazur compactum]
  • A. Banach–Mazur theorem
    The Banach–Mazur theorem is a fundamental result in functional analysis that characterizes separable Banach spaces as isometrically isomorphic to closed subspaces of spaces of continuous functions on compact metric spaces.
  • B. 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.
  • C. Mazur’s theorem on convex sets
    Mazur’s theorem on convex sets is a fundamental result in functional analysis that characterizes the structure and approximation properties of convex sets in Banach spaces, particularly via convex combinations of sequences.
  • D. Mazur’s intersection property
    Mazur’s intersection property is a concept in functional analysis concerning conditions under which the intersection of certain families of convex sets in Banach spaces is nonempty, reflecting deep geometric properties of these spaces.
  • E. Schreier family in Banach space theory
    The Schreier family in Banach space theory is a combinatorial collection of finite subsets of natural numbers introduced by Józef Schreier that plays a central role in constructing and analyzing special Banach spaces with unusual structural properties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banach–Mazur compactum
Target entity description: The Banach–Mazur compactum is the compact topological space whose points represent isometry classes of finite-dimensional normed spaces, typically visualized via the Banach–Mazur distance.
  • A. Banach–Mazur theorem
    The Banach–Mazur theorem is a fundamental result in functional analysis that characterizes separable Banach spaces as isometrically isomorphic to closed subspaces of spaces of continuous functions on compact metric spaces.
  • B. Banach–Mazur distance chosen
    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.
  • C. Mazur’s theorem on convex sets
    Mazur’s theorem on convex sets is a fundamental result in functional analysis that characterizes the structure and approximation properties of convex sets in Banach spaces, particularly via convex combinations of sequences.
  • D. Mazur’s intersection property
    Mazur’s intersection property is a concept in functional analysis concerning conditions under which the intersection of certain families of convex sets in Banach spaces is nonempty, reflecting deep geometric properties of these spaces.
  • E. Schreier family in Banach space theory
    The Schreier family in Banach space theory is a combinatorial collection of finite subsets of natural numbers introduced by Józef Schreier that plays a central role in constructing and analyzing special Banach spaces with unusual structural properties.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019552a0208190bd8bd0f9588911c3 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.