Triple

T592974

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grainger College of Engineering	`E17315`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Department of Mechanical Science and Engineering The Department of Mechanical Science and Engineering is an academic unit specializing in mechanical engineering and related disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.	`E73958`	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: Department of Mechanical Science and Engineering | Statement: [Grainger College of Engineering, hasDepartment, Department of Mechanical Science and Engineering]

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

Target entity: Department of Mechanical Science and Engineering
Context triple: [Grainger College of Engineering, hasDepartment, Department of Mechanical Science and Engineering]

A. School of Mechanical Science and Engineering
The School of Mechanical Science and Engineering is a major academic unit of Huazhong University of Science and Technology specializing in mechanical engineering education and research.
B. Department of Mechanical Engineering (Carnegie Mellon University)
The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
C. Department of Mechanical Engineering, UC Berkeley
The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
D. 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.
E. Division of Engineering and Applied Science
The Division of Engineering and Applied Science is Caltech’s academic unit dedicated to research and education in engineering disciplines and applied sciences, known for its rigorous programs and contributions to cutting-edge technology and innovation.
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: Department of Mechanical Science and Engineering
Triple: [Grainger College of Engineering, hasDepartment, Department of Mechanical Science and Engineering]

Generated description

The Department of Mechanical Science and Engineering is an academic unit specializing in mechanical engineering and related disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.

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

Target entity: Department of Mechanical Science and Engineering
Target entity description: The Department of Mechanical Science and Engineering is an academic unit specializing in mechanical engineering and related disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.

A. School of Mechanical Science and Engineering
The School of Mechanical Science and Engineering is a major academic unit of Huazhong University of Science and Technology specializing in mechanical engineering education and research.
B. Department of Mechanical Engineering (Carnegie Mellon University)
The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
C. Department of Mechanical Engineering, UC Berkeley
The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
D. 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.
E. Division of Engineering and Applied Science
The Division of Engineering and Applied Science is Caltech’s academic unit dedicated to research and education in engineering disciplines and applied sciences, known for its rigorous programs and contributions to cutting-edge technology and innovation.
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_69a49379d09c8190ac7e00b24e2810b1`	completed	March 1, 2026, 7:28 p.m.
NER	Named-entity recognition	`batch_69a49bbcaf5c81908de4e27096d3da13`	completed	March 1, 2026, 8:04 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69a515565720819086c59527d6f782f5`	completed	March 2, 2026, 4:43 a.m.
NEDg	Description generation	`batch_69a515d673e08190bf66072a20c5b912`	completed	March 2, 2026, 4:45 a.m.
NED2	Entity disambiguation (via description)	`batch_69a5168e76448190aec260b3b9b4bdc6`	completed	March 2, 2026, 4:48 a.m.

Created at: March 1, 2026, 7:33 p.m.