Triple

T9182185

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kharkiv National University of Radioelectronics	`E220357`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	Faculty of Electronic and Biomedical Engineering The Faculty of Electronic and Biomedical Engineering is an academic division specializing in electronics, biomedical engineering, and related technologies within Kharkiv National University of Radioelectronics.	`E784187`	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 Electronic and Biomedical Engineering | Statement: [Kharkiv National University of Radioelectronics, hasFaculty, Faculty of Electronic and Biomedical Engineering]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Faculty of Electronic and Biomedical Engineering
Context triple: [Kharkiv National University of Radioelectronics, hasFaculty, Faculty of Electronic and Biomedical Engineering]

A. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic unit at the Technion – Israel Institute of Technology that focuses on applying engineering principles to medical and biological problems through education and research.
B. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic division of Amirkabir University of Technology specializing in the application of engineering principles to medicine and biology, including areas such as medical devices, imaging, and biomaterials.
C. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is a specialized unit of the Czech Technical University in Prague focused on education and research at the intersection of engineering, medicine, and healthcare technologies.
D. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic unit specializing in the intersection of engineering, medicine, and biology, offering education and research in medical technologies and healthcare solutions.
E. Faculty of Medical Engineering
The Faculty of Medical Engineering is an academic unit of the Politehnica University of Bucharest specializing in the education and research of technologies and devices used in healthcare and biomedical applications.
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 Electronic and Biomedical Engineering
Triple: [Kharkiv National University of Radioelectronics, hasFaculty, Faculty of Electronic and Biomedical Engineering]

Generated description

The Faculty of Electronic and Biomedical Engineering is an academic division specializing in electronics, biomedical engineering, and related technologies within Kharkiv National University of Radioelectronics.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Faculty of Electronic and Biomedical Engineering
Target entity description: The Faculty of Electronic and Biomedical Engineering is an academic division specializing in electronics, biomedical engineering, and related technologies within Kharkiv National University of Radioelectronics.

A. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic unit at the Technion – Israel Institute of Technology that focuses on applying engineering principles to medical and biological problems through education and research.
B. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic division of Amirkabir University of Technology specializing in the application of engineering principles to medicine and biology, including areas such as medical devices, imaging, and biomaterials.
C. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is a specialized unit of the Czech Technical University in Prague focused on education and research at the intersection of engineering, medicine, and healthcare technologies.
D. Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic unit specializing in the intersection of engineering, medicine, and biology, offering education and research in medical technologies and healthcare solutions.
E. Faculty of Medical Engineering
The Faculty of Medical Engineering is an academic unit of the Politehnica University of Bucharest specializing in the education and research of technologies and devices used in healthcare and biomedical applications.
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_69ca83e589948190ac9907819db11ddf`	completed	March 30, 2026, 2:08 p.m.
NER	Named-entity recognition	`batch_69ccc25379008190b8ca047efe3bb7bb`	completed	April 1, 2026, 6:59 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69d05c0eeb0c8190a5a22c662726805c`	completed	April 4, 2026, 12:32 a.m.
NEDg	Description generation	`batch_69d05cec61908190ae783af982db4170`	completed	April 4, 2026, 12:35 a.m.
NED2	Entity disambiguation (via description)	`batch_69d05dbf1ce081908d5c8168a9315942`	completed	April 4, 2026, 12:39 a.m.

Created at: March 30, 2026, 7:23 p.m.