Triple

T15287030

Position	Surface form	Disambiguated ID	Type / Status
Subject	Indian Institute of Technology Mandi	`E365427`	entity
Predicate	hasSchool	`P113`	FINISHED
Object	School of Computing and Electrical Engineering The School of Computing and Electrical Engineering is an academic unit at IIT Mandi that focuses on education and research in computer science, information technology, and electrical engineering disciplines.	`E1148903`	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: School of Computing and Electrical Engineering | Statement: [Indian Institute of Technology Mandi, hasSchool, School of Computing and Electrical Engineering]

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

Target entity: School of Computing and Electrical Engineering
Context triple: [Indian Institute of Technology Mandi, hasSchool, School of Computing and Electrical Engineering]

A. School of Computing and Engineering
The School of Computing and Engineering is an academic division of the University of Derby that offers technology-focused education and research in areas such as computer science, software development, and engineering disciplines.
B. School of Computing and Engineering
The School of Computing and Engineering is an academic unit of the University of Missouri–Kansas City that offers programs and research opportunities in computer science, information technology, and engineering disciplines.
C. School of Electrical Engineering and Computer Science
The School of Electrical Engineering and Computer Science is a major academic division of KTH Royal Institute of Technology in Stockholm, focusing on education and research in electrical engineering, computer science, and related technologies.
D. School of Electrical and Computer Engineering
The School of Electrical and Computer Engineering is an academic unit of the Technical University of Crete specializing in education and research in electrical engineering, electronics, and computer engineering.
E. School of Electrical and Computer Engineering
The School of Electrical and Computer Engineering is a major academic unit of the University of Campinas in Brazil, dedicated to education and research in electrical, electronics, and computer engineering.
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: School of Computing and Electrical Engineering
Triple: [Indian Institute of Technology Mandi, hasSchool, School of Computing and Electrical Engineering]

Generated description

The School of Computing and Electrical Engineering is an academic unit at IIT Mandi that focuses on education and research in computer science, information technology, and electrical engineering disciplines.

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

Target entity: School of Computing and Electrical Engineering
Target entity description: The School of Computing and Electrical Engineering is an academic unit at IIT Mandi that focuses on education and research in computer science, information technology, and electrical engineering disciplines.

A. School of Computing and Engineering
The School of Computing and Engineering is an academic division of the University of Derby that offers technology-focused education and research in areas such as computer science, software development, and engineering disciplines.
B. School of Computing and Engineering
The School of Computing and Engineering is an academic unit of the University of Missouri–Kansas City that offers programs and research opportunities in computer science, information technology, and engineering disciplines.
C. School of Electrical Engineering and Computer Science
The School of Electrical Engineering and Computer Science is a major academic division of KTH Royal Institute of Technology in Stockholm, focusing on education and research in electrical engineering, computer science, and related technologies.
D. School of Electrical and Computer Engineering
The School of Electrical and Computer Engineering is an academic unit of the Technical University of Crete specializing in education and research in electrical engineering, electronics, and computer engineering.
E. School of Electrical and Computer Engineering
The School of Electrical and Computer Engineering is a major academic unit of the University of Campinas in Brazil, dedicated to education and research in electrical, electronics, and computer engineering.
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_69d85a103d9081908c1ea6c4c73ac8e3`	completed	April 10, 2026, 2:01 a.m.
NER	Named-entity recognition	`batch_69e00e551bb0819094db097285443740`	completed	April 15, 2026, 10:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69feef7b73a08190b06856c05ea8c80d`	completed	May 9, 2026, 8:25 a.m.
NEDg	Description generation	`batch_69fef38868548190877cf25a38bb805a`	completed	May 9, 2026, 8:42 a.m.
NED2	Entity disambiguation (via description)	`batch_69fef435b1208190bd839297a2f8d3f4`	completed	May 9, 2026, 8:45 a.m.

Created at: April 10, 2026, 3:15 a.m.