Triple

T13212114
Position Surface form Disambiguated ID Type / Status
Subject Information and Decision Sciences Department Labs E314518 entity
Predicate partOf P40 FINISHED
Object Information and Decision Sciences Department E314518 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: Information and Decision Sciences Department | Statement: [Information and Decision Sciences Department Labs, partOf, Information and Decision Sciences Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Information and Decision Sciences Department
Context triple: [Information and Decision Sciences Department Labs, partOf, Information and Decision Sciences Department]
  • A. 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.
  • B. Information and Decision Sciences Department Labs chosen
    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.
  • C. Department of Decision Sciences and Managerial Economics
    The Department of Decision Sciences and Managerial Economics is an academic unit at The Chinese University of Hong Kong’s Business School that focuses on quantitative decision-making, business analytics, and economic analysis in management.
  • D. Department of Operations and Decision Sciences
    The Department of Operations and Decision Sciences is an academic unit specializing in operations management, business analytics, and quantitative decision-making within the Lazaridis School of Business and Economics.
  • E. Department of Social and Decision Sciences
    The Department of Social and Decision Sciences is an interdisciplinary academic unit at Carnegie Mellon University that focuses on the study of human behavior, decision-making, and public policy using methods from psychology, economics, and related social sciences.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9f0f148190a0698ef27573c885 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f6136270819093256a143d2c9e65 completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.