Triple

T1056958
Position Surface form Disambiguated ID Type / Status
Subject Euclidean space E22816 entity
Predicate hasDistanceFunction P17802 FINISHED
Object Euclidean distance 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: Euclidean distance | Statement: [Euclidean space, hasDistanceFunction, Euclidean distance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDistanceFunction
Context triple: [Euclidean space, hasDistanceFunction, Euclidean distance]
  • A. hasApproximateDistanceScale
    Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
  • B. hasDistributionFunction
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • C. distanceCharacteristic chosen
    Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
  • D. hasGeodesics
    Indicates that the subject possesses or is characterized by geodesic paths, typically representing shortest or straightest possible routes within a given space or geometry.
  • E. hasDimension
    Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8da80dc8190b79beaf509910725 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b731e25c8190b5ea8466648c2c9a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.