Triple

T7833790

Position	Surface form	Disambiguated ID	Type / Status
Subject	Case School of Engineering	`E181637`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Department of Civil and Environmental Engineering The Department of Civil and Environmental Engineering is an academic unit that focuses on education and research in infrastructure, environmental systems, and sustainable development within the engineering field.	`E629758`	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 Civil and Environmental Engineering | Statement: [Case School of Engineering, hasDepartment, Department of Civil and Environmental Engineering]

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

Target entity: Department of Civil and Environmental Engineering
Context triple: [Case School of Engineering, hasDepartment, Department of Civil and Environmental Engineering]

A. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
B. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
C. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit within Duke University's Pratt School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
D. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department focused on advancing infrastructure, environmental sustainability, and resilient systems through education and research.
E. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit that educates students and conducts research in areas such as infrastructure design, construction, and environmental protection within the Maseeh College of Engineering and Computer Science.
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 Civil and Environmental Engineering
Triple: [Case School of Engineering, hasDepartment, Department of Civil and Environmental Engineering]

Generated description

The Department of Civil and Environmental Engineering is an academic unit that focuses on education and research in infrastructure, environmental systems, and sustainable development within the engineering field.

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

Target entity: Department of Civil and Environmental Engineering
Target entity description: The Department of Civil and Environmental Engineering is an academic unit that focuses on education and research in infrastructure, environmental systems, and sustainable development within the engineering field.

A. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit focused on education and research in infrastructure, construction, and environmental systems within the broader field of engineering.
B. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit that educates engineers and conducts research in areas such as infrastructure, transportation, water resources, and environmental protection within the A. James Clark School of Engineering.
C. Department of Civil and Environmental Engineering chosen
The Department of Civil and Environmental Engineering is an academic unit at the Technical University of Darmstadt focused on education and research in civil infrastructure, environmental systems, and sustainable development.
D. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit within Duke University's Pratt School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
E. Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit that educates students and conducts research in areas such as infrastructure design, construction, and environmental protection within the Maseeh College of Engineering and Computer Science.
F. None of above.

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_69ca8284a25c8190a1a20afad30da792`	completed	March 30, 2026, 2:02 p.m.
NER	Named-entity recognition	`batch_69cb064a47648190af2ca2b336584a92`	completed	March 30, 2026, 11:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69cb5a9b7bb081909d6aa066ee064093`	completed	March 31, 2026, 5:24 a.m.
NEDg	Description generation	`batch_69cb5ded0284819086c40a379b52a5bd`	completed	March 31, 2026, 5:38 a.m.
NED2	Entity disambiguation (via description)	`batch_69cb765db28881909ac34071ec6889b3`	completed	March 31, 2026, 7:23 a.m.

Created at: March 30, 2026, 4:45 p.m.