Triple

T20470910
Position Surface form Disambiguated ID Type / Status
Subject Hermite functions E502189 entity
Predicate orthogonalWithRespectTo P76852 FINISHED
Object Gaussian weight 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: Gaussian weight | Statement: [Hermite functions, orthogonalWithRespectTo, Gaussian weight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orthogonalWithRespectTo
Context triple: [Hermite functions, orthogonalWithRespectTo, Gaussian weight]
  • A. orthogonalityProperty chosen
    Indicates that one entity possesses the property of being orthogonal (i.e., at right angles or having zero inner product) with respect to another entity or a given reference.
  • B. orthonormalityRelation
    Indicates that a set of vectors are mutually orthogonal and each has unit length with respect to a given inner product.
  • C. isParallelWithRespectTo
    Indicates that two or more entities maintain a constant separation and never intersect within a specified reference or coordinate system.
  • D. representationWithRespectTo
    Indicates a relationship in which one entity serves as a representation, depiction, or stand-in for another entity under a particular perspective, context, or interpretive framework.
  • E. perpendicularTo
    Indicates that one entity is oriented at a right angle (90 degrees) to another entity.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e699608d7c8190910217817e789915 completed April 20, 2026, 9:23 p.m.
PD Predicate disambiguation batch_69e57679eb40819086142df3e39c928e completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:33 a.m.