Triple
T12339199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Ege University |
E294173
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Chemical Engineering, Ege University
The Department of Chemical Engineering at Ege University is an academic unit that provides education and conducts research in chemical engineering within the university’s Faculty of Engineering.
|
E978783
|
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 Chemical Engineering, Ege University | Statement: [Faculty of Engineering, Ege University, hasDepartment, Department of Chemical Engineering, Ege University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Chemical Engineering, Ege University Context triple: [Faculty of Engineering, Ege University, hasDepartment, Department of Chemical Engineering, Ege University]
-
A.
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.
-
B.
Department of Chemical Engineering, Marmara University
The Department of Chemical Engineering at Marmara University is an academic unit that provides education and conducts research in chemical engineering within the university’s Faculty of Engineering.
-
C.
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.
-
D.
Department of Chemical Engineering, King Saud University
The Department of Chemical Engineering at King Saud University is an academic unit that offers education and conducts research in chemical engineering within the university’s College of Engineering.
-
E.
Faculty of Engineering of Boğaziçi University
The Faculty of Engineering of Boğaziçi University is a leading engineering school in Turkey known for its rigorous programs, strong research output, and international collaborations across multiple 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 Chemical Engineering, Ege University Triple: [Faculty of Engineering, Ege University, hasDepartment, Department of Chemical Engineering, Ege University]
Generated description
The Department of Chemical Engineering at Ege University is an academic unit that provides education and conducts research in chemical engineering within the university’s Faculty of Engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Chemical Engineering, Ege University Target entity description: The Department of Chemical Engineering at Ege University is an academic unit that provides education and conducts research in chemical engineering within the university’s Faculty of Engineering.
-
A.
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.
-
B.
Department of Chemical Engineering, Marmara University
The Department of Chemical Engineering at Marmara University is an academic unit that provides education and conducts research in chemical engineering within the university’s Faculty of Engineering.
-
C.
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.
-
D.
Department of Chemical Engineering, King Saud University
The Department of Chemical Engineering at King Saud University is an academic unit that offers education and conducts research in chemical engineering within the university’s College of Engineering.
-
E.
Faculty of Engineering of Boğaziçi University
The Faculty of Engineering of Boğaziçi University is a leading engineering school in Turkey known for its rigorous programs, strong research output, and international collaborations across multiple 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.