Triple
T13108486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Industrial and Operations Engineering (University of Michigan) |
E310909
|
entity |
| Predicate | offersProgram |
P178
|
FINISHED |
| Object |
Master of Science in Industrial and Operations Engineering
The Master of Science in Industrial and Operations Engineering is a graduate degree focused on optimizing complex systems, processes, and decision-making using advanced analytical, mathematical, and engineering methods.
|
E1021762
|
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: Master of Science in Industrial and Operations Engineering | Statement: [Department of Industrial and Operations Engineering (University of Michigan), offersProgram, Master of Science in Industrial and Operations Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Industrial and Operations Engineering Context triple: [Department of Industrial and Operations Engineering (University of Michigan), offersProgram, Master of Science in Industrial and Operations Engineering]
-
A.
Master of Engineering
The Master of Engineering is a postgraduate professional degree focused on advanced engineering coursework and applied research, preparing graduates for specialized technical careers or further doctoral studies.
-
B.
Industrial and Operations Engineering
Industrial and Operations Engineering is an engineering discipline focused on designing, optimizing, and managing complex systems, processes, and organizations to improve efficiency, quality, and productivity.
-
C.
School of Industrial Engineering
The School of Industrial Engineering is a major academic unit of the Polytechnic University of Madrid specializing in education and research in industrial and systems engineering disciplines.
-
D.
School of Industrial Engineering
The School of Industrial Engineering is an academic unit of the University of Málaga dedicated to education and research in industrial and related engineering disciplines.
-
E.
School of Industrial and Systems Engineering
The School of Industrial and Systems Engineering is an academic department within the Gallogly College of Engineering that focuses on optimizing complex processes, systems, and organizations through engineering, analytics, and management science.
- 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: Master of Science in Industrial and Operations Engineering Triple: [Department of Industrial and Operations Engineering (University of Michigan), offersProgram, Master of Science in Industrial and Operations Engineering]
Generated description
The Master of Science in Industrial and Operations Engineering is a graduate degree focused on optimizing complex systems, processes, and decision-making using advanced analytical, mathematical, and engineering methods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Industrial and Operations Engineering Target entity description: The Master of Science in Industrial and Operations Engineering is a graduate degree focused on optimizing complex systems, processes, and decision-making using advanced analytical, mathematical, and engineering methods.
-
A.
Master of Engineering
The Master of Engineering is a postgraduate professional degree focused on advanced engineering coursework and applied research, preparing graduates for specialized technical careers or further doctoral studies.
-
B.
Industrial and Operations Engineering
Industrial and Operations Engineering is an engineering discipline focused on designing, optimizing, and managing complex systems, processes, and organizations to improve efficiency, quality, and productivity.
-
C.
School of Industrial Engineering
The School of Industrial Engineering is a major academic unit of the Polytechnic University of Madrid specializing in education and research in industrial and systems engineering disciplines.
-
D.
School of Industrial Engineering
The School of Industrial Engineering is an academic unit of the University of Málaga dedicated to education and research in industrial and related engineering disciplines.
-
E.
School of Industrial and Systems Engineering
The School of Industrial and Systems Engineering is an academic department within the Gallogly College of Engineering that focuses on optimizing complex processes, systems, and organizations through engineering, analytics, and management science.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e37023d48190ba6a0b790ed23370 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:05 p.m.