Triple

T17752842
Position Surface form Disambiguated ID Type / Status
Subject Gaussian orthogonal ensemble E443153 entity
Predicate betaEnsembleParameter P97142 FINISHED
Object 1 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: 1 | Statement: [Gaussian orthogonal ensemble, betaEnsembleParameter, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: betaEnsembleParameter
Context triple: [Gaussian orthogonal ensemble, betaEnsembleParameter, 1]
  • A. parametrizes chosen
    Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
  • B. ensembleSize
    Indicates the number of individual members or participants that make up a given group or ensemble.
  • C. mainEnsemble
    Indicates that an entity serves as the primary or central ensemble associated with another entity (such as a work, performance, or production).
  • D. requiresEnsemble
    Indicates that performing or realizing one entity necessitates the coordinated participation of multiple entities acting together as an ensemble.
  • E. typeOfEnsemble
    Indicates the specific kind or category of ensemble that an entity belongs to or represents.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841c0540819093a32d759775c61f completed April 19, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69e3cde9dc288190af0e2198487f2051 completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:10 a.m.