Triple
T12339205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Ege University |
E294173
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Mining Engineering, Ege University
The Department of Mining Engineering at Ege University is an academic unit that educates engineers and conducts research in mining technologies, mineral resources, and related earth sciences.
|
E978788
|
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 Mining Engineering, Ege University | Statement: [Faculty of Engineering, Ege University, hasDepartment, Department of Mining Engineering, Ege University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mining Engineering, Ege University Context triple: [Faculty of Engineering, Ege University, hasDepartment, Department of Mining Engineering, Ege University]
-
A.
Geological Engineering Department, Istanbul University
The Geological Engineering Department at Istanbul University is an academic unit specializing in the study and engineering applications of earth materials, structures, and processes.
-
B.
Department of Mining Engineering
The Department of Mining Engineering is an academic unit specializing in the education and research of mineral extraction, mine design, and related engineering disciplines at the University of Engineering and Technology Peshawar.
-
C.
Metallurgical and Materials Engineering Department, Istanbul University
The Metallurgical and Materials Engineering Department at Istanbul University is an academic unit specializing in the education and research of metals, alloys, and advanced materials within the university’s engineering faculty.
-
D.
Civil Engineering Department, Istanbul University
The Civil Engineering Department at Istanbul University is an academic unit that educates engineers and conducts research in areas such as structural, geotechnical, transportation, and environmental engineering.
-
E.
Department of Mining and Materials Engineering
The Department of Mining and Materials Engineering is an academic unit at McGill University that focuses on education and research in mineral resource extraction, materials science, and related engineering 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 Mining Engineering, Ege University Triple: [Faculty of Engineering, Ege University, hasDepartment, Department of Mining Engineering, Ege University]
Generated description
The Department of Mining Engineering at Ege University is an academic unit that educates engineers and conducts research in mining technologies, mineral resources, and related earth sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mining Engineering, Ege University Target entity description: The Department of Mining Engineering at Ege University is an academic unit that educates engineers and conducts research in mining technologies, mineral resources, and related earth sciences.
-
A.
Geological Engineering Department, Istanbul University
The Geological Engineering Department at Istanbul University is an academic unit specializing in the study and engineering applications of earth materials, structures, and processes.
-
B.
Department of Mining Engineering
The Department of Mining Engineering is an academic unit specializing in the education and research of mineral extraction, mine design, and related engineering disciplines at the University of Engineering and Technology Peshawar.
-
C.
Metallurgical and Materials Engineering Department, Istanbul University
The Metallurgical and Materials Engineering Department at Istanbul University is an academic unit specializing in the education and research of metals, alloys, and advanced materials within the university’s engineering faculty.
-
D.
Civil Engineering Department, Istanbul University
The Civil Engineering Department at Istanbul University is an academic unit that educates engineers and conducts research in areas such as structural, geotechnical, transportation, and environmental engineering.
-
E.
Department of Mining and Materials Engineering
The Department of Mining and Materials Engineering is an academic unit at McGill University that focuses on education and research in mineral resource extraction, materials science, and related engineering 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_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.