Triple

T7534085

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nanjing University of Science and Technology	`E178102`	entity
Predicate	hasSchool	`P113`	FINISHED
Object	School of Electronic and Optical Engineering The School of Electronic and Optical Engineering is an academic unit of Nanjing University of Science and Technology specializing in education and research in electronics, photonics, and related technologies.	`E671310`	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 Electronic and Optical Engineering | Statement: [Nanjing University of Science and Technology, hasSchool, School of Electronic and Optical Engineering]

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

Target entity: School of Electronic and Optical Engineering
Context triple: [Nanjing University of Science and Technology, hasSchool, School of Electronic and Optical Engineering]

A. School of Electronic and Information Engineering
The School of Electronic and Information Engineering is a major academic unit of South China University of Technology specializing in education and research in electronics, information engineering, and related technologies.
B. School of Electronic and Information Engineering
The School of Electronic and Information Engineering is an academic unit of Xi'an Jiaotong University specializing in education and research in electronics, information technology, and related engineering fields.
C. College of Electronic and Information Engineering
The College of Electronic and Information Engineering is an academic unit of Shenzhen University specializing in education and research in electronics, information engineering, and related technologies.
D. School of Electronic Information and Electrical Engineering
The School of Electronic Information and Electrical Engineering is a major engineering school at Shanghai Jiao Tong University specializing in electronic engineering, information science, and related technologies.
E. School of Electronics and Information Technology
The School of Electronics and Information Technology is an academic unit of Sun Yat-sen University specializing in education and research in electronics, information engineering, 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: School of Electronic and Optical Engineering
Triple: [Nanjing University of Science and Technology, hasSchool, School of Electronic and Optical Engineering]

Generated description

The School of Electronic and Optical Engineering is an academic unit of Nanjing University of Science and Technology specializing in education and research in electronics, photonics, and related technologies.

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

Target entity: School of Electronic and Optical Engineering
Target entity description: The School of Electronic and Optical Engineering is an academic unit of Nanjing University of Science and Technology specializing in education and research in electronics, photonics, and related technologies.

A. School of Electronic and Information Engineering
The School of Electronic and Information Engineering is a major academic unit of South China University of Technology specializing in education and research in electronics, information engineering, and related technologies.
B. School of Electronic and Information Engineering
The School of Electronic and Information Engineering is an academic unit of Xi'an Jiaotong University specializing in education and research in electronics, information technology, and related engineering fields.
C. College of Electronic and Information Engineering
The College of Electronic and Information Engineering is an academic unit of Shenzhen University specializing in education and research in electronics, information engineering, and related technologies.
D. School of Electronic Information and Electrical Engineering
The School of Electronic Information and Electrical Engineering is a major engineering school at Shanghai Jiao Tong University specializing in electronic engineering, information science, and related technologies.
E. School of Electronics and Information Technology
The School of Electronics and Information Technology is an academic unit of Sun Yat-sen University specializing in education and research in electronics, information engineering, and related 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_69c69f2acdbc8190b5a8320168c1d0ba`	completed	March 27, 2026, 3:15 p.m.
NER	Named-entity recognition	`batch_69c6f84a9d28819084ebfc44fcb2c29c`	completed	March 27, 2026, 9:36 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c84f0765b48190b8df68f22c8901f4`	completed	March 28, 2026, 9:58 p.m.
NEDg	Description generation	`batch_69c8514ed0108190bb9686422818b2d1`	completed	March 28, 2026, 10:08 p.m.
NED2	Entity disambiguation (via description)	`batch_69c851f462dc8190a706c9580449a396`	completed	March 28, 2026, 10:11 p.m.

Created at: March 27, 2026, 3:47 p.m.