Triple

T453371

Position	Surface form	Disambiguated ID	Type / Status
Subject	Huazhong University of Science and Technology	`E7178`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	School of Materials Science and Engineering The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.	`E57278`	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 Materials Science and Engineering | Statement: [Huazhong University of Science and Technology, hasFaculty, School of Materials Science and Engineering]

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

Target entity: School of Materials Science and Engineering
Context triple: [Huazhong University of Science and Technology, hasFaculty, School of Materials Science and Engineering]

A. Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
B. Department of Materials Science and NanoEngineering
The Department of Materials Science and NanoEngineering is an academic unit specializing in the study and engineering of materials and nanoscale systems, offering research and education in areas such as nanotechnology, advanced materials, and related engineering applications.
C. School of Engineering and Applied Science
The School of Engineering and Applied Science at the University of Pennsylvania is the university’s engineering school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, electrical engineering, and mechanical engineering.
D. School of Engineering and Applied Science
The School of Engineering and Applied Science is George Washington University's engineering college, offering undergraduate and graduate programs in fields such as engineering, computer science, and applied sciences.
E. School of Engineering
The School of Engineering at Tohoku University is a major academic division renowned for its research and education in engineering and applied sciences in Japan.
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 Materials Science and Engineering
Triple: [Huazhong University of Science and Technology, hasFaculty, School of Materials Science and Engineering]

Generated description

The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.

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

Target entity: School of Materials Science and Engineering
Target entity description: The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.

A. Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
B. Department of Materials Science and NanoEngineering
The Department of Materials Science and NanoEngineering is an academic unit specializing in the study and engineering of materials and nanoscale systems, offering research and education in areas such as nanotechnology, advanced materials, and related engineering applications.
C. School of Engineering and Applied Science
The School of Engineering and Applied Science at the University of Pennsylvania is the university’s engineering school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, electrical engineering, and mechanical engineering.
D. School of Engineering and Applied Science
The School of Engineering and Applied Science is George Washington University's engineering college, offering undergraduate and graduate programs in fields such as engineering, computer science, and applied sciences.
E. School of Engineering
The School of Engineering at Tohoku University is a major academic division renowned for its research and education in engineering and applied sciences in Japan.
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_69a2e7e4676c81909ea0dbdecac0687c`	completed	Feb. 28, 2026, 1:04 p.m.
NER	Named-entity recognition	`batch_69a2ef866e848190a5b700250ec56256`	completed	Feb. 28, 2026, 1:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69a44cbc3b708190ab27ce4d323472b9`	completed	March 1, 2026, 2:27 p.m.
NEDg	Description generation	`batch_69a44d28817481908f1783950db136bb`	completed	March 1, 2026, 2:28 p.m.
NED2	Entity disambiguation (via description)	`batch_69a44d79b2388190b5c16e2a94abb360`	completed	March 1, 2026, 2:30 p.m.

Created at: Feb. 28, 2026, 1:12 p.m.