Triple

T11269074

Position	Surface form	Disambiguated ID	Type / Status
Subject	Department of Computer Systems Engineering, UET Peshawar	`E266763`	entity
Predicate	parentOrganization	`P254`	FINISHED
Object	Faculty of Electrical and Computer Engineering, UET Peshawar The Faculty of Electrical and Computer Engineering, UET Peshawar is an academic division of the University of Engineering and Technology Peshawar that oversees programs and departments related to electrical, electronics, and computer engineering disciplines.	`E916115`	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 Electrical and Computer Engineering, UET Peshawar | Statement: [Department of Computer Systems Engineering, UET Peshawar, parentOrganization, Faculty of Electrical and Computer Engineering, UET Peshawar]

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

Target entity: Faculty of Electrical and Computer Engineering, UET Peshawar
Context triple: [Department of Computer Systems Engineering, UET Peshawar, parentOrganization, Faculty of Electrical and Computer Engineering, UET Peshawar]

A. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is an academic division of Chittagong University of Engineering and Technology specializing in education and research in electrical, electronic, and computer engineering disciplines.
B. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is a leading academic unit at the Technion – Israel Institute of Technology, specializing in education and research in electrical engineering, computer engineering, and related technologies.
C. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is a major academic division of the Dresden University of Technology specializing in education and research in electrical engineering, electronics, and computer engineering.
D. Faculty of Electrical Engineering and Computer Science
The Faculty of Electrical Engineering and Computer Science is an academic division of the University of Kassel specializing in education and research in electrical engineering, computer science, and related technologies.
E. Faculty of Electrical Engineering and Computer Science
The Faculty of Electrical Engineering and Computer Science is a major academic division of Leibniz University Hannover specializing in education and research in electrical engineering, computer science, and related technologies.
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 Electrical and Computer Engineering, UET Peshawar
Triple: [Department of Computer Systems Engineering, UET Peshawar, parentOrganization, Faculty of Electrical and Computer Engineering, UET Peshawar]

Generated description

The Faculty of Electrical and Computer Engineering, UET Peshawar is an academic division of the University of Engineering and Technology Peshawar that oversees programs and departments related to electrical, electronics, and computer engineering disciplines.

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

Target entity: Faculty of Electrical and Computer Engineering, UET Peshawar
Target entity description: The Faculty of Electrical and Computer Engineering, UET Peshawar is an academic division of the University of Engineering and Technology Peshawar that oversees programs and departments related to electrical, electronics, and computer engineering disciplines.

A. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is a leading academic unit at the Technion – Israel Institute of Technology, specializing in education and research in electrical engineering, computer engineering, and related technologies.
B. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is an academic division of Chittagong University of Engineering and Technology specializing in education and research in electrical, electronic, and computer engineering disciplines.
C. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is a major academic division of the Dresden University of Technology specializing in education and research in electrical engineering, electronics, and computer engineering.
D. Faculty of Electrical Engineering and Computer Science
The Faculty of Electrical Engineering and Computer Science is an academic division of the University of Kassel specializing in education and research in electrical engineering, computer science, and related technologies.
E. Faculty of Electrical Engineering and Computer Science
The Faculty of Electrical Engineering and Computer Science is an academic division of Lublin University of Technology specializing in education and research in electrical engineering, electronics, and computer science.
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_69d6aac8c2f48190ad0596f1f89f0470`	completed	April 8, 2026, 7:21 p.m.
NER	Named-entity recognition	`batch_69d7e94f60d48190bc925c3cb88641a8`	completed	April 9, 2026, 6 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69e4f4229c7081909da6b22ee6bf4905`	completed	April 19, 2026, 3:26 p.m.
NEDg	Description generation	`batch_69e4f9596e1081908e7b319f77453438`	completed	April 19, 2026, 3:48 p.m.
NED2	Entity disambiguation (via description)	`batch_69e4ff5881b8819080f9662a0c2d486d`	completed	April 19, 2026, 4:14 p.m.

Created at: April 8, 2026, 9:31 p.m.