Triple

T11259820
Position Surface form Disambiguated ID Type / Status
Subject Employment Projections E266530 entity
Predicate usesClassification P6736 FINISHED
Object Standard Occupational Classification system E914747 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: Standard Occupational Classification system | Statement: [Employment Projections, usesClassification, Standard Occupational Classification system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Standard Occupational Classification system
Context triple: [Employment Projections, usesClassification, Standard Occupational Classification system]
  • A. Standard Occupational Classification chosen
    The Standard Occupational Classification is a federal system used in the United States to categorize and standardize occupations for statistical, labor market, and administrative purposes.
  • B. International Standard Industrial Classification
    The International Standard Industrial Classification is a globally used United Nations framework that systematically categorizes economic activities to enable consistent collection, analysis, and comparison of industrial statistics across countries.
  • C. Occupational Employment and Wage Statistics
    Occupational Employment and Wage Statistics is a U.S. labor market data program that provides detailed estimates of employment levels and wage rates across occupations and industries.
  • D. Division of Professions and Occupations
    The Division of Professions and Occupations is a Colorado state regulatory body responsible for licensing and overseeing a wide range of professional and occupational fields to protect public health, safety, and welfare.
  • E. NAICS codes
    NAICS codes are a standardized classification system used in North America to categorize businesses and industries for statistical, regulatory, and procurement purposes.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e936cb048190b4d6fb2851ef8932 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f410cb508190bb0ceab51075eec5 completed April 19, 2026, 3:26 p.m.
Created at: April 8, 2026, 9:31 p.m.