Triple
T15827078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Hacettepe University |
E383770
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Food Engineering, Hacettepe University
The Department of Food Engineering at Hacettepe University is an academic unit specializing in the science, technology, and engineering of food production, processing, and quality within the university’s Faculty of Engineering.
|
E1178821
|
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, Hacettepe University | Statement: [Faculty of Engineering, Hacettepe University, hasDepartment, Department of Food Engineering, Hacettepe University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Food Engineering, Hacettepe University Context triple: [Faculty of Engineering, Hacettepe University, hasDepartment, Department of Food Engineering, Hacettepe University]
-
A.
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.
-
B.
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.
-
C.
Faculty of Food Science and Engineering
The Faculty of Food Science and Engineering is an academic unit specializing in food technology, engineering, and related sciences within Dunărea de Jos University of Galați in Romania.
-
D.
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.
-
E.
Faculty of Food Science and Technology
The Faculty of Food Science and Technology is an academic division of Universiti Putra Malaysia specializing in education and research related to food science, technology, and related disciplines.
- 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 Food Engineering, Hacettepe University Triple: [Faculty of Engineering, Hacettepe University, hasDepartment, Department of Food Engineering, Hacettepe University]
Generated description
The Department of Food Engineering at Hacettepe University is an academic unit specializing in the science, technology, and engineering of food production, processing, and quality within the university’s Faculty of Engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Food Engineering, Hacettepe University Target entity description: The Department of Food Engineering at Hacettepe University is an academic unit specializing in the science, technology, and engineering of food production, processing, and quality within the university’s Faculty of Engineering.
-
A.
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.
-
B.
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.
-
C.
Faculty of Food Science and Engineering
The Faculty of Food Science and Engineering is an academic unit specializing in food technology, engineering, and related sciences within Dunărea de Jos University of Galați in Romania.
-
D.
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.
-
E.
Faculty of Food Science and Technology
The Faculty of Food Science and Technology is an academic division of Universiti Putra Malaysia specializing in education and research related to food science, technology, and related disciplines.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e60fe748190baa49c49605efd0d |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999da5008190921b3f129787999e |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a82cadc8190a57f40062d29a998 |
completed | May 9, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b5dbf80819085fdfcdff424511b |
completed | May 9, 2026, 8:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.