Triple

T2949736
Position Surface form Disambiguated ID Type / Status
Subject Carlson School of Management E79790 entity
Predicate hasCenter P35 FINISHED
Object 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.
E314518 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 and Decision Sciences Department Labs | Statement: [Carlson School of Management, hasCenter, Information and Decision Sciences Department Labs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Information and Decision Sciences Department Labs
Context triple: [Carlson School of Management, hasCenter, Information and Decision Sciences Department Labs]
  • A. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • B. Decision, Operations and Information Technologies Department
    The Decision, Operations and Information Technologies Department is an academic unit at the Robert H. Smith School of Business specializing in research and teaching on data-driven decision-making, operations management, and information systems.
  • C. Department of Complexity Science and Engineering
    The Department of Complexity Science and Engineering is an academic unit specializing in the interdisciplinary study and modeling of complex systems across natural, social, and engineered domains.
  • D. Statistical Decision Functions
    Statistical Decision Functions is a foundational work in decision theory and statistics that systematically develops the theory of optimal decision-making under uncertainty.
  • E. Warning Decision Support System – Integrated Information
    Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
  • 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 and Decision Sciences Department Labs
Triple: [Carlson School of Management, hasCenter, Information and Decision Sciences Department Labs]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Information and Decision Sciences Department Labs
Target entity description: 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.
  • A. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • B. Decision, Operations and Information Technologies Department
    The Decision, Operations and Information Technologies Department is an academic unit at the Robert H. Smith School of Business specializing in research and teaching on data-driven decision-making, operations management, and information systems.
  • C. Department of Complexity Science and Engineering
    The Department of Complexity Science and Engineering is an academic unit specializing in the interdisciplinary study and modeling of complex systems across natural, social, and engineered domains.
  • D. Statistical Decision Functions
    Statistical Decision Functions is a foundational work in decision theory and statistics that systematically develops the theory of optimal decision-making under uncertainty.
  • E. Warning Decision Support System – Integrated Information
    Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98f95da88190a036a18f39f221c2 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc79f6d081908d3bbd52439f4d31 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.