Triple

T31656
Position Surface form Disambiguated ID Type / Status
Subject Nash embedding theorem E631 entity
Predicate dimensionBound P99 FINISHED
Object gives explicit upper bounds on the Euclidean dimension needed for embedding 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: gives explicit upper bounds on the Euclidean dimension needed for embedding | Statement: [Nash embedding theorem, dimensionBound, gives explicit upper bounds on the Euclidean dimension needed for embedding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dimensionBound
Context triple: [Nash embedding theorem, dimensionBound, gives explicit upper bounds on the Euclidean dimension needed for embedding]
  • A. length
    Indicates a measurement relationship where a value specifies how long something is from one end to the other.
  • B. hasLimitation chosen
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • C. width
    Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
  • D. locatedBetween
    Indicates that one entity is positioned spatially between two other reference entities.
  • E. borderStraddling
    Indicates that something (such as a feature, structure, or area) extends across and occupies territory on both sides of a border between two regions or jurisdictions.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a249ec0d288190ac3a0939db61813b completed Feb. 28, 2026, 1:50 a.m.
PD Predicate disambiguation batch_69a24870417081909c7c01e400c94716 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.