Triple

T20364217
Position Surface form Disambiguated ID Type / Status
Subject CompStat E496862 entity
Predicate alternativeName P39 FINISHED
Object COMPSTAT NE NERFINISHED

How this triple was built (3 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: COMPSTAT | Statement: [CompStat, alternativeName, COMPSTAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COMPSTAT
Context triple: [CompStat, alternativeName, COMPSTAT]
  • A. Department of Econometrics and Business Statistics
    The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
  • B. Conference on Statistical Practice
    The Conference on Statistical Practice is a professional meeting focused on practical applications of statistics, offering training, networking, and resources for statisticians and data analysts across diverse fields.
  • C. Econometrics
    Econometrics is a field of economics that applies statistical and mathematical methods to analyze economic data and test economic theories.
  • D. Journal of Business & Economic Statistics
    The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
  • E. Econometric Society World Congress
    The Econometric Society World Congress is a major international conference held every five years that brings together leading economists and econometricians to present and discuss cutting-edge research in economic theory and econometrics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COMPSTAT
Target entity description: COMPSTAT is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and crime-reduction strategies.
  • A. Department of Econometrics and Business Statistics
    The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
  • B. Conference on Statistical Practice
    The Conference on Statistical Practice is a professional meeting focused on practical applications of statistics, offering training, networking, and resources for statisticians and data analysts across diverse fields.
  • C. Econometrics
    Econometrics is a field of economics that applies statistical and mathematical methods to analyze economic data and test economic theories.
  • D. Journal of Business & Economic Statistics
    The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
  • E. Econometric Society World Congress
    The Econometric Society World Congress is a major international conference held every five years that brings together leading economists and econometricians to present and discuss cutting-edge research in economic theory and econometrics.
  • F. None of above. chosen

Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6786fd0088190908187ab642344cc completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.