Triple
T13039161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Diponegoro University |
E326642
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit that focuses on optimizing complex systems, processes, and organizations through the integration of engineering, management, and data-driven methods.
|
E1017164
|
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 Industrial Engineering | Statement: [Faculty of Engineering, Diponegoro University, hasDepartment, Department of Industrial Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Industrial Engineering Context triple: [Faculty of Engineering, Diponegoro University, hasDepartment, Department of Industrial Engineering]
-
A.
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.
-
B.
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.
-
C.
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at the University of Engineering and Technology Peshawar that focuses on optimizing complex systems, processes, and organizations through engineering and management principles.
-
D.
Department of Industrial Engineering
The Department of Industrial Engineering at the University of Trento is an academic unit focused on research and education in areas such as industrial technologies, production systems, and innovation in engineering processes.
-
E.
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at the University of Puerto Rico at Mayagüez that focuses on optimizing complex systems, processes, and organizations through engineering, management, and analytical methods.
- 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 Industrial Engineering Triple: [Faculty of Engineering, Diponegoro University, hasDepartment, Department of Industrial Engineering]
Generated description
The Department of Industrial Engineering is an academic unit that focuses on optimizing complex systems, processes, and organizations through the integration of engineering, management, and data-driven methods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Industrial Engineering Target entity description: The Department of Industrial Engineering is an academic unit that focuses on optimizing complex systems, processes, and organizations through the integration of engineering, management, and data-driven methods.
-
A.
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.
-
B.
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.
-
C.
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at the University of Engineering and Technology Peshawar that focuses on optimizing complex systems, processes, and organizations through engineering and management principles.
-
D.
Department of Industrial Engineering
The Department of Industrial Engineering at the University of Trento is an academic unit focused on research and education in areas such as industrial technologies, production systems, and innovation in engineering processes.
-
E.
Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at the University of Puerto Rico at Mayagüez that focuses on optimizing complex systems, processes, and organizations through engineering, management, and analytical methods.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd2f6a481909fdd418e7ad3cc22 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd0d21e08190855dcbee000fc25d |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce6b220c8190b1f49a9b2bfce692 |
completed | May 3, 2026, 4:26 a.m. |
Created at: April 9, 2026, 8:55 p.m.