Triple
T15827073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Hacettepe University |
E383770
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Mechanical Engineering, Hacettepe University
The Department of Mechanical Engineering at Hacettepe University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering such as mechanics, thermodynamics, materials, and design.
|
E1178817
|
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 Mechanical Engineering, Hacettepe University | Statement: [Faculty of Engineering, Hacettepe University, hasDepartment, Department of Mechanical Engineering, Hacettepe University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Hacettepe University Context triple: [Faculty of Engineering, Hacettepe University, hasDepartment, Department of Mechanical Engineering, Hacettepe University]
-
A.
Department of Mechanical Engineering, Ege University
The Department of Mechanical Engineering at Ege University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering within the university’s Faculty of Engineering.
-
B.
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.
-
C.
Department of Mechanical Engineering, Marmara University
The Department of Mechanical Engineering at Marmara University is an academic unit that offers undergraduate and graduate programs focused on the design, analysis, and manufacturing of mechanical systems and technologies.
-
D.
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.
-
E.
Department of Mechanical Engineering, Hosei University
The Department of Mechanical Engineering at Hosei University is an academic unit specializing in education and research in mechanical engineering and related technologies.
- 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 Mechanical Engineering, Hacettepe University Triple: [Faculty of Engineering, Hacettepe University, hasDepartment, Department of Mechanical Engineering, Hacettepe University]
Generated description
The Department of Mechanical Engineering at Hacettepe University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering such as mechanics, thermodynamics, materials, and design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Hacettepe University Target entity description: The Department of Mechanical Engineering at Hacettepe University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering such as mechanics, thermodynamics, materials, and design.
-
A.
Department of Mechanical Engineering, Ege University
The Department of Mechanical Engineering at Ege University is an academic unit that offers undergraduate and graduate education and conducts research in core areas of mechanical engineering within the university’s Faculty of Engineering.
-
B.
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.
-
C.
Department of Mechanical Engineering, Marmara University
The Department of Mechanical Engineering at Marmara University is an academic unit that offers undergraduate and graduate programs focused on the design, analysis, and manufacturing of mechanical systems and technologies.
-
D.
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.
-
E.
Department of Mechanical Engineering, Hosei University
The Department of Mechanical Engineering at Hosei University is an academic unit specializing in education and research in mechanical engineering and related technologies.
- 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.