Triple

T36320268
Position Surface form Disambiguated ID Type / Status
Subject Maximal Marginal Relevance E894311 entity
Predicate instanceOf P0 FINISHED
Object diversity-based re-ranking method C34581 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07 
Target class: diversity-based re-ranking method
Context triple: [Maximal Marginal Relevance, instanceOf, diversity-based re-ranking method]
  • A. recognition framework
    A recognition framework is a structured approach or system for identifying, categorizing, and validating entities, patterns, or achievements according to defined criteria and processes.
  • B. ensemble training approach
    An ensemble training approach is a machine learning strategy that combines multiple models, often trained with diverse architectures, data subsets, or initialization seeds, to produce a more robust and accurate aggregated prediction than any individual model alone.
  • C. coefficient ranking
    Coefficient ranking is the ordered evaluation of numerical coefficients based on their magnitude, importance, or influence within a mathematical model or statistical analysis.
  • D. optical flow-based method
    An optical flow-based method is a technique that estimates the motion of objects, surfaces, or edges in a visual scene by analyzing the apparent pixel intensity changes between consecutive image frames.
  • E. pairwise comparison method chosen
    A pairwise comparison method is a decision-making or evaluation technique in which alternatives are systematically compared two at a time to determine their relative preference, importance, or ranking.
  • F. None of above.

Provenance (1 batch)

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_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
Created at: May 3, 2026, 4:09 p.m.