Triple

T20471063
Position Surface form Disambiguated ID Type / Status
Subject Hermitian form E502192 entity
Predicate diagonalizationProperty P25793 FINISHED
Object Hermitian matrix can be unitarily diagonalized 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: Hermitian matrix can be unitarily diagonalized | Statement: [Hermitian form, diagonalizationProperty, Hermitian matrix can be unitarily diagonalized]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diagonalizationProperty
Context triple: [Hermitian form, diagonalizationProperty, Hermitian matrix can be unitarily diagonalized]
  • A. diagonalProperty chosen
    Indicates a relationship where something possesses or exhibits a diagonal characteristic, alignment, or behavior relative to a reference frame or structure.
  • B. determinantProperty
    Indicates that one property or factor determines, governs, or decisively influences another property or outcome.
  • C. diagonalRepresents
    Indicates that a diagonal in a figure or matrix stands for, encodes, or symbolizes a particular value, property, or relationship.
  • D. isSelfAdjoint
    Indicates that an operator is equal to its own adjoint (conjugate transpose), meaning it has the same effect as its Hermitian transpose in the given inner product space.
  • E. hasEigenvalues
    Indicates that a linear operator or matrix possesses one or more eigenvalues associated with its action on a vector space.
  • 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.