Triple
T12339200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Ege University |
E294173
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Food Engineering, Ege University
The Department of Food Engineering at Ege University is an academic unit specializing in the science, technology, and engineering of food production, processing, safety, and quality.
|
E978784
|
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 Food Engineering, Ege University | Statement: [Faculty of Engineering, Ege University, hasDepartment, Department of Food Engineering, Ege University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Food Engineering, Ege University Context triple: [Faculty of Engineering, Ege University, hasDepartment, Department of Food Engineering, Ege University]
-
A.
Department of Food Engineering, Marmara University
chosen
The Department of Food Engineering at Marmara University is an academic unit that educates students and conducts research in the processing, safety, and quality control of food products within the university’s engineering faculty.
-
B.
School of Food Engineering and Biotechnology
The School of Food Engineering and Biotechnology is an academic unit of the Mongolian University of Science and Technology specializing in education and research on food science, processing technologies, and biotechnological applications.
-
C.
Industrial Engineering Department, Istanbul University
The Industrial Engineering Department at Istanbul University is an academic unit that focuses on optimizing complex systems and processes through the application of engineering, management, and analytical methods.
-
D.
Chemical Engineering Department, Istanbul University
The Chemical Engineering Department at Istanbul University is an academic unit within the university’s Faculty of Engineering that focuses on education and research in chemical engineering and related fields.
-
E.
Mechanical Engineering Department, Istanbul University
The Mechanical Engineering Department at Istanbul University is an academic unit that offers education and conducts research in mechanical engineering within the university’s Faculty of Engineering.
- F. None of above.
- 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 Food Engineering, Ege University Triple: [Faculty of Engineering, Ege University, hasDepartment, Department of Food Engineering, Ege University]
Generated description
The Department of Food Engineering at Ege University is an academic unit specializing in the science, technology, and engineering of food production, processing, safety, and quality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Food Engineering, Ege University Target entity description: The Department of Food Engineering at Ege University is an academic unit specializing in the science, technology, and engineering of food production, processing, safety, and quality.
-
A.
Department of Food Engineering, Marmara University
The Department of Food Engineering at Marmara University is an academic unit that educates students and conducts research in the processing, safety, and quality control of food products within the university’s engineering faculty.
-
B.
School of Food Engineering and Biotechnology
The School of Food Engineering and Biotechnology is an academic unit of the Mongolian University of Science and Technology specializing in education and research on food science, processing technologies, and biotechnological applications.
-
C.
Industrial Engineering Department, Istanbul University
The Industrial Engineering Department at Istanbul University is an academic unit that focuses on optimizing complex systems and processes through the application of engineering, management, and analytical methods.
-
D.
Chemical Engineering Department, Istanbul University
The Chemical Engineering Department at Istanbul University is an academic unit within the university’s Faculty of Engineering that focuses on education and research in chemical engineering and related fields.
-
E.
Mechanical Engineering Department, Istanbul University
The Mechanical Engineering Department at Istanbul University is an academic unit that offers education and conducts research in mechanical engineering within the university’s Faculty of Engineering.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa7e33c819084e5673a5fb8cac7 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c55aacc8190a0544306825bdfab |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d51ab8081909c6f534051019dca |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:53 p.m.