Triple
T645070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, McGill University |
E11222
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
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.
|
E81000
|
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 and Materials Engineering | Statement: [Faculty of Engineering, McGill University, hasDepartment, Department of Mining and Materials Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mining and Materials Engineering Context triple: [Faculty of Engineering, McGill University, hasDepartment, Department of Mining and Materials Engineering]
-
A.
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.
-
B.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering 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.
Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
-
E.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
- 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 and Materials Engineering Triple: [Faculty of Engineering, McGill University, hasDepartment, Department of Mining and Materials Engineering]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mining and Materials Engineering Target entity description: 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.
-
A.
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.
-
B.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering 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.
Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
-
E.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f19f9a08190b0bf6e19b32427ff |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a580373e3c81909aa9ff50f3b1e781 |
completed | March 2, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_69a5833e10bc819091dba5bb5ec9ea85 |
completed | March 2, 2026, 12:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a583a35678819087d440a05c7b636d |
completed | March 2, 2026, 12:33 p.m. |
Created at: March 1, 2026, 7:36 p.m.