Triple
T7067167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science and Engineering (Anglia Ruskin University) |
E164582
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Department of Mechanical and Electronic Engineering
The Department of Mechanical and Electronic Engineering is an academic unit at Anglia Ruskin University that focuses on teaching and research in mechanical, electronic, and related engineering disciplines.
|
E640091
|
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 Mechanical and Electronic Engineering | Statement: [Faculty of Science and Engineering (Anglia Ruskin University), hasPart, Department of Mechanical and Electronic Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical and Electronic Engineering Context triple: [Faculty of Science and Engineering (Anglia Ruskin University), hasPart, Department of Mechanical and Electronic Engineering]
-
A.
Department of Electrical and Mechanical Engineering
The Department of Electrical and Mechanical Engineering is an academic unit at Nagoya Institute of Technology that focuses on education and research in integrated electrical, electronic, and mechanical engineering fields.
-
B.
Department of Mechatronics Engineering
The Department of Mechatronics Engineering is an academic unit specializing in the integration of mechanical, electronics, and computer engineering to develop intelligent systems and automation technologies.
-
C.
Faculty of Mechanical and Electrical Engineering
The Faculty of Mechanical and Electrical Engineering is an academic division of Damascus University specializing in engineering education and research in mechanical and electrical disciplines.
-
D.
School of Mechanical Science and Engineering
The School of Mechanical Science and Engineering is a major academic unit of Huazhong University of Science and Technology specializing in mechanical engineering education and research.
-
E.
Department of Mechanical Engineering
The Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur is a leading academic and research department in India, known for its comprehensive programs and contributions to mechanical engineering education and innovation.
- 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 Mechanical and Electronic Engineering Triple: [Faculty of Science and Engineering (Anglia Ruskin University), hasPart, Department of Mechanical and Electronic Engineering]
Generated description
The Department of Mechanical and Electronic Engineering is an academic unit at Anglia Ruskin University that focuses on teaching and research in mechanical, electronic, and related engineering disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical and Electronic Engineering Target entity description: The Department of Mechanical and Electronic Engineering is an academic unit at Anglia Ruskin University that focuses on teaching and research in mechanical, electronic, and related engineering disciplines.
-
A.
Department of Electrical and Mechanical Engineering
The Department of Electrical and Mechanical Engineering is an academic unit at Nagoya Institute of Technology that focuses on education and research in integrated electrical, electronic, and mechanical engineering fields.
-
B.
Department of Mechatronics Engineering
The Department of Mechatronics Engineering is an academic unit specializing in the integration of mechanical, electronics, and computer engineering to develop intelligent systems and automation technologies.
-
C.
Faculty of Mechanical and Electrical Engineering
The Faculty of Mechanical and Electrical Engineering is an academic division of Damascus University specializing in engineering education and research in mechanical and electrical disciplines.
-
D.
School of Mechanical Science and Engineering
The School of Mechanical Science and Engineering is a major academic unit of Huazhong University of Science and Technology specializing in mechanical engineering education and research.
-
E.
Department of Mechanical Engineering
The Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur is a leading academic and research department in India, known for its comprehensive programs and contributions to mechanical engineering education and innovation.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a737dc8190add7f0228cb28111 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7944fe5ec819098ff44e2872fc644 |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c794c3df788190a1b9104d07f56c29 |
completed | March 28, 2026, 8:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795862b24819083db36a7f0f00ad4 |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:39 p.m.