Triple

T18491541
Position Surface form Disambiguated ID Type / Status
Subject Euclidean geometry E451827 entity
Predicate hasKeyConcept P533 FINISHED
Object Euclidean distance — NE NERFINISHED

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 geometry, hasKeyConcept, Euclidean distance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Euclidean distance
Context triple: [Euclidean geometry, hasKeyConcept, Euclidean distance]
  • 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. math.dist
    math.dist is a Python standard library function that computes the Euclidean distance between two points in n-dimensional space.
  • C. Measures of Distance
    Measures of Distance is a 1988 video art piece by Mona Hatoum that layers intimate letters from her mother with fragmented images and sound to explore themes of exile, memory, and the complexities of mother–daughter relationships.
  • 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. Mahalanobis distance
    Mahalanobis distance is a multivariate measure of the distance between a point and a distribution (or between distributions) that accounts for correlations between variables via the covariance matrix.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531dcac3c8190b2ebd129ca7f368d completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.