Triple

T36467948
Position Surface form Disambiguated ID Type / Status
Subject Wigner matrices E898468 entity
Predicate scalingConvention P78044 FINISHED
Object entries often scaled by 1/sqrt(n) 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: entries often scaled by 1/sqrt(n) | Statement: [Wigner matrices, scalingConvention, entries often scaled by 1/sqrt(n)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scalingConvention
Context triple: [Wigner matrices, scalingConvention, entries often scaled by 1/sqrt(n)]
  • A. dimensionConvention
    Indicates that a specified standard, method, or convention is used to define or interpret the dimensions of an entity or object.
  • B. namespaceConvention
    Indicates the naming and structural rules that govern how namespaces are defined, organized, and referenced in a system.
  • C. logicConvention
    Indicates a relationship where entities participate in or are associated with a convention, event, or standard related to logic or logical systems.
  • D. conventionFor chosen
    Indicates a relationship where something serves as a standard, rule, or customary practice governing how another thing is done, represented, or interpreted.
  • E. rateConvention
    Indicates the standard, method, or set of rules used to determine or apply a particular rate (such as interest, tax, or pricing) in a given context.
  • 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:10 p.m.