Triple

T19790538

Position	Surface form	Disambiguated ID	Type / Status
Subject	University of Dar es Salaam	`E475396`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	College of Information and Communication Technologies The College of Information and Communication Technologies is a constituent academic unit of the University of Dar es Salaam in Tanzania that focuses on education and research in computing, information systems, and communication technologies.	`E1396332`	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: College of Information and Communication Technologies | Statement: [University of Dar es Salaam, hasFaculty, College of Information and Communication Technologies]

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

Target entity: College of Information and Communication Technologies
Context triple: [University of Dar es Salaam, hasFaculty, College of Information and Communication Technologies]

A. College of Information and Communications
The College of Information and Communications is an academic unit at the University of South Carolina that focuses on education and research in fields such as journalism, mass communications, information science, and media studies.
B. School of Information and Communications Technologies
The School of Information and Communications Technologies is an academic division of the Southern Alberta Institute of Technology specializing in education and training in computing, networking, and digital communication fields.
C. School of Information and Communication Technology
The School of Information and Communication Technology is a faculty of the Mongolian University of Science and Technology specializing in education and research in computing, information systems, and communication technologies.
D. School of Information and Communication Technology
The School of Information and Communication Technology is a specialized faculty of Hanoi University of Science and Technology focused on education and research in computing, electronics, and telecommunications.
E. School of Information and Communication Technology
The School of Information and Communication Technology is a faculty of the Federal University of Technology Minna that focuses on education and research in computing, information systems, and communication 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: College of Information and Communication Technologies
Triple: [University of Dar es Salaam, hasFaculty, College of Information and Communication Technologies]

Generated description

The College of Information and Communication Technologies is a constituent academic unit of the University of Dar es Salaam in Tanzania that focuses on education and research in computing, information systems, and communication technologies.

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

Target entity: College of Information and Communication Technologies
Target entity description: The College of Information and Communication Technologies is a constituent academic unit of the University of Dar es Salaam in Tanzania that focuses on education and research in computing, information systems, and communication technologies.

A. College of Information and Communications
The College of Information and Communications is an academic unit at the University of South Carolina that focuses on education and research in fields such as journalism, mass communications, information science, and media studies.
B. School of Information and Communications Technologies
The School of Information and Communications Technologies is an academic division of the Southern Alberta Institute of Technology specializing in education and training in computing, networking, and digital communication fields.
C. School of Information and Communication Technology
The School of Information and Communication Technology is a faculty of the Mongolian University of Science and Technology specializing in education and research in computing, information systems, and communication technologies.
D. School of Information and Communication Technology
The School of Information and Communication Technology is a specialized faculty of Hanoi University of Science and Technology focused on education and research in computing, electronics, and telecommunications.
E. School of Information and Communication Technology
The School of Information and Communication Technology is a faculty of the Federal University of Technology Minna that focuses on education and research in computing, information systems, and communication technologies.
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_69d8e51b014081908b263e167370529a`	completed	April 10, 2026, 11:55 a.m.
NER	Named-entity recognition	`batch_69e653c217bc819092c517b27ca22087`	completed	April 20, 2026, 4:26 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a07c4fdbf4c8190a9177e87b65fc965`	completed	May 16, 2026, 1:14 a.m.
NEDg	Description generation	`batch_6a07c90c07a48190b0f23597124b5017`	completed	May 16, 2026, 1:31 a.m.
NED2	Entity disambiguation (via description)	`batch_6a07c97b33b481909e9b45b37cfe87b3`	completed	May 16, 2026, 1:33 a.m.

Created at: April 10, 2026, 1:49 p.m.