Triple

T32258570
Position Surface form Disambiguated ID Type / Status
Subject Λ E824085 entity
Predicate standardNotationFor P4882 FINISHED
Object de Bruijn–Newman constant 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: de Bruijn–Newman constant | Statement: [Λ, standardNotationFor, de Bruijn–Newman constant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardNotationFor
Context triple: [Λ, standardNotationFor, de Bruijn–Newman constant]
  • A. standardNumber
    Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
  • B. typicalNotation chosen
    Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
  • C. standardizedFormOf
    Indicates that one entity is the normalized or officially standardized version of another, often consolidating variations or alternative forms into a single canonical form.
  • D. standardFormulation
    Indicates that something is expressed or represented in a conventional, officially accepted, or commonly used form or version.
  • E. standardNumberStandardizedBy
    Indicates that a standard number has been formally defined, approved, or regulated by a specific standardizing authority or organization.
  • 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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: May 1, 2026, 12:41 a.m.