Triple
T1696632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amirkabir University of Technology |
E36671
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Faculty of Materials and Metallurgical Engineering
The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
|
E191855
|
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: Faculty of Materials and Metallurgical Engineering | Statement: [Amirkabir University of Technology, hasFaculty, Faculty of Materials and Metallurgical Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Materials and Metallurgical Engineering Context triple: [Amirkabir University of Technology, hasFaculty, Faculty of Materials and Metallurgical Engineering]
-
A.
Faculty of Chemical and Metallurgical Engineering
The Faculty of Chemical and Metallurgical Engineering is an academic division of Istanbul Technical University specializing in education and research in chemical, metallurgical, and materials engineering disciplines.
-
B.
Faculty of Materials Science and Technology
The Faculty of Materials Science and Technology is an academic division of the Freiberg Mining Academy specializing in education and research on materials, their properties, processing, and technological applications.
-
C.
Faculty of Materials Science
The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
-
D.
Faculty of Mechanical Engineering
The Faculty of Mechanical Engineering is an academic division of Chemnitz University of Technology specializing in education and research in mechanical engineering and related technical disciplines.
-
E.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
- 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: Faculty of Materials and Metallurgical Engineering Triple: [Amirkabir University of Technology, hasFaculty, Faculty of Materials and Metallurgical Engineering]
Generated description
The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Materials and Metallurgical Engineering Target entity description: The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
-
A.
Faculty of Chemical and Metallurgical Engineering
The Faculty of Chemical and Metallurgical Engineering is an academic division of Istanbul Technical University specializing in education and research in chemical, metallurgical, and materials engineering disciplines.
-
B.
Faculty of Materials Science and Technology
The Faculty of Materials Science and Technology is an academic division of the Freiberg Mining Academy specializing in education and research on materials, their properties, processing, and technological applications.
-
C.
Faculty of Materials Science
The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
-
D.
Faculty of Mechanical Engineering
The Faculty of Mechanical Engineering is an academic division of Chemnitz University of Technology specializing in education and research in mechanical engineering and related technical disciplines.
-
E.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b78d20819096f0602058c46d8a |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad799ad838819087e945f47284a3b0 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad81f90e948190b83078523b1cf3f8 |
completed | March 8, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad82755910819087aa9940dc1e7495 |
completed | March 8, 2026, 2:06 p.m. |
Created at: March 4, 2026, 7:30 p.m.