Triple

T5471000
Position Surface form Disambiguated ID Type / Status
Subject Muma College of Business E122831 entity
Predicate hasDepartment P35 FINISHED
Object Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
E523372 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: Information Systems and Decision Sciences Department | Statement: [Muma College of Business, hasDepartment, Information Systems and Decision Sciences Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Information Systems and Decision Sciences Department
Context triple: [Muma College of Business, hasDepartment, Information Systems and Decision Sciences Department]
  • A. Department of Information Systems and Analytics
    The Department of Information Systems and Analytics is an academic unit specializing in data-driven decision-making, information technology, and business analytics within the Leavey School of Business.
  • B. Department of Information Systems, Statistics, and Management Science
    The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
  • C. Information and Decision Sciences Department Labs
    The Information and Decision Sciences Department Labs is a research and teaching hub focused on data analytics, information systems, and decision-making technologies within the Carlson School of Management.
  • D. Department of Accounting and Information Management
    The Department of Accounting and Information Management is an academic unit within the Haslam College of Business that focuses on education and research in accounting, information systems, and related business analytics.
  • E. Faculty of Management and Information Sciences
    The Faculty of Management and Information Sciences is an academic division of the University of Peshawar specializing in business, management, and information-related disciplines.
  • 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: Information Systems and Decision Sciences Department
Triple: [Muma College of Business, hasDepartment, Information Systems and Decision Sciences Department]
Generated description
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Information Systems and Decision Sciences Department
Target entity description: The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
  • A. Department of Information Systems and Analytics
    The Department of Information Systems and Analytics is an academic unit specializing in data-driven decision-making, information technology, and business analytics within the Leavey School of Business.
  • B. Department of Information Systems, Statistics, and Management Science
    The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
  • C. Information and Decision Sciences Department Labs
    The Information and Decision Sciences Department Labs is a research and teaching hub focused on data analytics, information systems, and decision-making technologies within the Carlson School of Management.
  • D. Department of Accounting and Information Management
    The Department of Accounting and Information Management is an academic unit within the Haslam College of Business that focuses on education and research in accounting, information systems, and related business analytics.
  • E. Faculty of Management and Information Sciences
    The Faculty of Management and Information Sciences is an academic division of the University of Peshawar specializing in business, management, and information-related disciplines.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921d02188190b5c1eee7205ea88e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4895b77c819089629d2296a230bc completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4c43b8bc81908b28e1b8287400c7 completed March 22, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69bf4cadc9508190a901a6fe6702f1b7 completed March 22, 2026, 1:58 a.m.
Created at: March 20, 2026, 2:09 p.m.