Triple

T13527090
Position Surface form Disambiguated ID Type / Status
Subject Kaizen E323038 entity
Predicate relatedConcept P37 FINISHED
Object Six Sigma E323028 NE 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: Six Sigma | Statement: [Kaizen, relatedConcept, Six Sigma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Six Sigma
Context triple: [Kaizen, relatedConcept, Six Sigma]
  • A. Six Sigma chosen
    Six Sigma is a data-driven methodology and set of tools for process improvement that aims to reduce defects and variability in manufacturing and business operations.
  • B. Lean Six Sigma
    Lean Six Sigma is a business improvement methodology that combines Lean’s focus on eliminating waste with Six Sigma’s emphasis on reducing process variation to enhance quality, efficiency, and customer satisfaction.
  • C. Total Quality Management
    Total Quality Management is a comprehensive management philosophy focused on continuous improvement, customer satisfaction, and involving all employees in systematically enhancing processes, products, and services.
  • D.
    6σ is the common symbolic abbreviation for Six Sigma, a data-driven methodology focused on reducing defects and improving process quality in organizations.
  • E. DFSS
    DFSS is a Chicago city agency that provides social services and support programs to children, youth, families, seniors, and vulnerable residents.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d95ce008190a915fe5865c38ee5 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.