Triple

T2341273
Position Surface form Disambiguated ID Type / Status
Subject McKelvey School of Engineering E45030 entity
Predicate hasDepartment P35 FINISHED
Object Department of Energy, Environmental & Chemical Engineering
The Department of Energy, Environmental & Chemical Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on research and education in energy systems, environmental engineering, and chemical engineering.
E259220 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 Energy, Environmental & Chemical Engineering | Statement: [McKelvey School of Engineering, hasDepartment, Department of Energy, Environmental & Chemical Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Energy, Environmental & Chemical Engineering
Context triple: [McKelvey School of Engineering, hasDepartment, Department of Energy, Environmental & Chemical Engineering]
  • A. Department of Energy Engineering
    The Department of Energy Engineering is an academic unit at Sharif University of Technology focused on education and research in energy systems, technologies, and management.
  • B. Department of Chemical Engineering
    The Department of Chemical Engineering at McGill University is an academic unit that offers education and conducts research in chemical and process engineering within the Faculty of Engineering.
  • C. Department of Chemical Engineering
    The Department of Chemical Engineering at MIT is a leading academic and research department focused on advancing chemical, biological, and materials engineering through innovative education and cutting-edge research.
  • D. Department of Chemical Engineering
    The Department of Chemical Engineering is an academic unit within the University of Havana’s Faculty of Chemistry dedicated to education and research in chemical process and engineering sciences.
  • E. Department of Chemical Engineering
    The Department of Chemical Engineering is an academic unit at Jadavpur University that focuses on education and research in chemical process engineering and related fields.
  • 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 Energy, Environmental & Chemical Engineering
Triple: [McKelvey School of Engineering, hasDepartment, Department of Energy, Environmental & Chemical Engineering]
Generated description
The Department of Energy, Environmental & Chemical Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on research and education in energy systems, environmental engineering, and chemical engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Energy, Environmental & Chemical Engineering
Target entity description: The Department of Energy, Environmental & Chemical Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on research and education in energy systems, environmental engineering, and chemical engineering.
  • A. Department of Energy Engineering
    The Department of Energy Engineering is an academic unit at Sharif University of Technology focused on education and research in energy systems, technologies, and management.
  • B. Department of Chemical Engineering
    The Department of Chemical Engineering at McGill University is an academic unit that offers education and conducts research in chemical and process engineering within the Faculty of Engineering.
  • C. Department of Chemical Engineering
    The Department of Chemical Engineering at MIT is a leading academic and research department focused on advancing chemical, biological, and materials engineering through innovative education and cutting-edge research.
  • D. Department of Chemical Engineering
    The Department of Chemical Engineering is an academic unit within the University of Havana’s Faculty of Chemistry dedicated to education and research in chemical process and engineering sciences.
  • E. Department of Chemical Engineering
    The Department of Chemical Engineering is an academic unit at Jadavpur University that focuses on education and research in chemical process engineering and related fields.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6abf1688190b7c404de0979149a completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961fd8748190a82ca4c4b840d9f6 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae980425b0819092477f5cf9816d65 completed March 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae9bef58f881908161d143369ba11a completed March 9, 2026, 10:07 a.m.
Created at: March 4, 2026, 7:52 p.m.