Triple
T25440273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Electrical and Computer Engineering, Chittagong University of Engineering and Technology |
E637484
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit at Chittagong University of Engineering and Technology that focuses on applying engineering principles to medical and biological problems, including the development of healthcare technologies and devices.
|
E1681646
|
NE FINISHED |
How this triple was built (2 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 Biomedical Engineering | Statement: [Faculty of Electrical and Computer Engineering, Chittagong University of Engineering and Technology, hasDepartment, Department of Biomedical Engineering]
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 Biomedical Engineering Triple: [Faculty of Electrical and Computer Engineering, Chittagong University of Engineering and Technology, hasDepartment, Department of Biomedical Engineering]
Generated description
The Department of Biomedical Engineering is an academic unit at Chittagong University of Engineering and Technology that focuses on applying engineering principles to medical and biological problems, including the development of healthcare technologies and devices.
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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6e5451c8190a6a6f6a938167985 |
completed | May 2, 2026, 1:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1089a6e22c8190b5e7fdef343be2c0 |
completed | May 22, 2026, 4:51 p.m. |
| NEDg | Description generation | batch_6a109013dae8819096f6c23fd70dbe49 |
completed | May 22, 2026, 5:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10989a11a88190b60f53a00f25a395 |
completed | May 22, 2026, 5:55 p.m. |
Created at: April 21, 2026, 2 p.m.