Triple
T8127248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Nuclear Engineering, Sharif University of Technology |
E189761
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
College of Energy Engineering, Sharif University of Technology
The College of Energy Engineering at Sharif University of Technology is an academic division specializing in energy-related disciplines, including nuclear engineering, within one of Iran’s leading technical universities.
|
E714673
|
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: College of Energy Engineering, Sharif University of Technology | Statement: [Department of Nuclear Engineering, Sharif University of Technology, affiliatedWith, College of Energy Engineering, Sharif University of Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College of Energy Engineering, Sharif University of Technology Context triple: [Department of Nuclear Engineering, Sharif University of Technology, affiliatedWith, College of Energy Engineering, Sharif University of Technology]
-
A.
Sharif University of Technology
Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
-
B.
School of Energy and Power Engineering
The School of Energy and Power Engineering is a specialized academic unit of Xi'an Jiaotong University focused on education and research in energy systems, power engineering, and related technologies.
-
C.
School for Engineering of Matter, Transport and Energy
The School for Engineering of Matter, Transport and Energy is an academic unit at Arizona State University focused on disciplines such as materials science, mechanical and aerospace engineering, and related fields within the Ira A. Fulton Schools of Engineering.
-
D.
International Faculty of Engineering
The International Faculty of Engineering is a unit of Łódź University of Technology that offers engineering programs with an international focus, often taught in foreign languages and aimed at attracting students from around the world.
-
E.
Faculty of Power Engineering
The Faculty of Power Engineering is an academic division of the Mongolian University of Science and Technology specializing in education and research on electrical power systems and energy 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: College of Energy Engineering, Sharif University of Technology Triple: [Department of Nuclear Engineering, Sharif University of Technology, affiliatedWith, College of Energy Engineering, Sharif University of Technology]
Generated description
The College of Energy Engineering at Sharif University of Technology is an academic division specializing in energy-related disciplines, including nuclear engineering, within one of Iran’s leading technical universities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College of Energy Engineering, Sharif University of Technology Target entity description: The College of Energy Engineering at Sharif University of Technology is an academic division specializing in energy-related disciplines, including nuclear engineering, within one of Iran’s leading technical universities.
-
A.
Faculty of Engineering, Sharif University of Technology
The Faculty of Engineering at Sharif University of Technology is a leading Iranian engineering school comprising multiple specialized departments and renowned for its strong research and academic programs in science and technology.
-
B.
Sharif University of Technology
Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
-
C.
School of Energy and Power Engineering
The School of Energy and Power Engineering is a specialized academic unit of Xi'an Jiaotong University focused on education and research in energy systems, power engineering, and related technologies.
-
D.
School for Engineering of Matter, Transport and Energy
The School for Engineering of Matter, Transport and Energy is an academic unit at Arizona State University focused on disciplines such as materials science, mechanical and aerospace engineering, and related fields within the Ira A. Fulton Schools of Engineering.
-
E.
International Faculty of Engineering
The International Faculty of Engineering is a unit of Łódź University of Technology that offers engineering programs with an international focus, often taught in foreign languages and aimed at attracting students from around the world.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438ff4e08190a9af0f3e6401c9b2 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc947303f881908e16af664fb74dc8 |
completed | April 1, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69cca83322748190bdd532552d972089 |
completed | April 1, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cca913304c8190a0ce9c468d98269f |
completed | April 1, 2026, 5:11 a.m. |
Created at: March 30, 2026, 5:34 p.m.