Triple

T459062
Position Surface form Disambiguated ID Type / Status
Subject Division of Mathematical and Physical Sciences (UC Berkeley L&S) E7296 entity
Predicate hasPart P35 FINISHED
Object Department of Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
E57726 NE FINISHED

How this triple was built (4 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: Department of Statistics (UC Berkeley) | Statement: [Division of Mathematical and Physical Sciences (UC Berkeley L&S), hasPart, Department of Statistics (UC Berkeley)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Statistics (UC Berkeley)
Context triple: [Division of Mathematical and Physical Sciences (UC Berkeley L&S), hasPart, Department of Statistics (UC Berkeley)]
  • A. Department of Statistics
    The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
  • B. Department of Statistics
    The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • C. Department of Industrial Engineering and Operations Research, UC Berkeley
    The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
  • D. Institute of Statistical Studies and Research
    The Institute of Statistical Studies and Research is a specialized academic and research center at Cairo University focused on advanced statistics, data analysis, and related quantitative disciplines.
  • E. Statistical Research Center
    The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Statistics (UC Berkeley)
Triple: [Division of Mathematical and Physical Sciences (UC Berkeley L&S), hasPart, Department of Statistics (UC Berkeley)]
Generated description
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Statistics (UC Berkeley)
Target entity description: The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
  • A. Department of Statistics
    The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • B. Department of Statistics
    The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
  • C. Department of Industrial Engineering and Operations Research, UC Berkeley
    The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
  • D. Institute of Statistical Studies and Research
    The Institute of Statistical Studies and Research is a specialized academic and research center at Cairo University focused on advanced statistics, data analysis, and related quantitative disciplines.
  • E. Statistical Research Center
    The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
  • F. None of above. chosen

Provenance (5 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa4a6208190a8243a0e14f84f52 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f583ea081908d92fe5b5dc4d3c0 completed March 1, 2026, 2:38 p.m.
NEDg Description generation batch_69a45150b3f8819094519329a68fb1b8 completed March 1, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69a451ab785c8190b4cab0d162b4efa8 completed March 1, 2026, 2:48 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.