Triple

T429535
Position Surface form Disambiguated ID Type / Status
Subject Whitney embedding theorem E9682 entity
Predicate givesUpperBound P7032 FINISHED
Object 2n for the embedding dimension of an n-dimensional smooth manifold 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: 2n for the embedding dimension of an n-dimensional smooth manifold | Statement: [Whitney embedding theorem, givesUpperBound, 2n for the embedding dimension of an n-dimensional smooth manifold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesUpperBound
Context triple: [Whitney embedding theorem, givesUpperBound, 2n for the embedding dimension of an n-dimensional smooth manifold]
  • A. isMaximumWhen
    Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
  • B. isLightestBoundStateOf
    Indicates that one entity is the lowest-mass (lightest) bound state within the set of bound states associated with another entity.
  • C. hasMaximumValue
    Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
  • D. dimensionBoundType chosen
    Indicates the type or nature of the constraint that bounds a given dimension in a relationship.
  • E. meetsAtLeast
    Indicates that one entity encounters or comes into contact with another entity at least a specified minimum number of times or to a minimum required degree.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeedf68c81908473d6c6600961bd completed Feb. 28, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69a2edd7a3608190b8785c7b7205f6c1 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.