Triple
T7510337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallogly College of Engineering |
E177501
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
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.
|
E670271
|
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: School of Industrial and Systems Engineering | Statement: [Gallogly College of Engineering, hasUnit, School of Industrial and Systems Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Industrial and Systems Engineering Context triple: [Gallogly College of Engineering, hasUnit, School of Industrial and Systems Engineering]
-
A.
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.
-
B.
Department of Industrial and Management Systems Engineering
The Department of Industrial and Management Systems Engineering is an academic unit focused on optimizing complex systems and processes by integrating engineering, management, and data-driven decision-making.
-
C.
School of Industrial Engineering and Management
The School of Industrial Engineering and Management is a faculty unit at KTH Royal Institute of Technology specializing in the integration of engineering, management, and economics to optimize industrial systems and organizational performance.
-
D.
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at Tor Vergata University of Rome focused on education and research in industrial, mechanical, and management engineering disciplines.
-
E.
Department of Industrial Engineering
The Department of Industrial Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in optimizing complex systems, production processes, and organizational operations through engineering and management sciences.
- 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: School of Industrial and Systems Engineering Triple: [Gallogly College of Engineering, hasUnit, School of Industrial and Systems Engineering]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Industrial and Systems Engineering Target entity description: 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.
-
A.
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.
-
B.
Department of Industrial and Management Systems Engineering
The Department of Industrial and Management Systems Engineering is an academic unit focused on optimizing complex systems and processes by integrating engineering, management, and data-driven decision-making.
-
C.
School of Industrial Engineering and Management
The School of Industrial Engineering and Management is a faculty unit at KTH Royal Institute of Technology specializing in the integration of engineering, management, and economics to optimize industrial systems and organizational performance.
-
D.
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at Tor Vergata University of Rome focused on education and research in industrial, mechanical, and management engineering disciplines.
-
E.
Department of Industrial Engineering
The Department of Industrial Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in optimizing complex systems, production processes, and organizational operations through engineering and management sciences.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8461035b48190ba08c0f759cafe4a |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c84754ec048190be1e37c2189b56ed |
completed | March 28, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c848026e90819098d0b419101f91e1 |
completed | March 28, 2026, 9:28 p.m. |
Created at: March 27, 2026, 3:45 p.m.