Triple

T12838426

Position	Surface form	Disambiguated ID	Type / Status
Subject	College of Engineering (University of Canterbury)	`E306980`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Civil and Natural Resources Engineering department The Civil and Natural Resources Engineering department is an academic unit at the University of Canterbury specializing in education and research on infrastructure, environmental systems, and sustainable resource management.	`E1004131`	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: Civil and Natural Resources Engineering department | Statement: [College of Engineering (University of Canterbury), hasDepartment, Civil and Natural Resources Engineering department]

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

Target entity: Civil and Natural Resources Engineering department
Context triple: [College of Engineering (University of Canterbury), hasDepartment, Civil and Natural Resources Engineering department]

A. Civil and Environmental Engineering Department
The Civil and Environmental Engineering Department is an academic unit specializing in infrastructure, environmental systems, and sustainable engineering within the Henry Samueli School of Engineering and Applied Science.
B. Department of Civil Engineering
The Department of Civil Engineering is an academic unit at the College of Engineering Pune that focuses on education and research in areas such as structural, geotechnical, transportation, and environmental engineering.
C. Department of Civil Engineering
The Department of Civil Engineering at IIT Kharagpur is a leading academic and research unit in India focused on education and innovation in structural, geotechnical, transportation, environmental, and water resources engineering.
D. Department of Civil Engineering
The Department of Civil Engineering is an academic unit within Anglia Ruskin University's Faculty of Science and Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
E. Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation 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: Civil and Natural Resources Engineering department
Triple: [College of Engineering (University of Canterbury), hasDepartment, Civil and Natural Resources Engineering department]

Generated description

The Civil and Natural Resources Engineering department is an academic unit at the University of Canterbury specializing in education and research on infrastructure, environmental systems, and sustainable resource management.

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

Target entity: Civil and Natural Resources Engineering department
Target entity description: The Civil and Natural Resources Engineering department is an academic unit at the University of Canterbury specializing in education and research on infrastructure, environmental systems, and sustainable resource management.

A. Civil and Environmental Engineering Department
The Civil and Environmental Engineering Department is an academic unit specializing in infrastructure, environmental systems, and sustainable engineering within the Henry Samueli School of Engineering and Applied Science.
B. Department of Civil Engineering
The Department of Civil Engineering is an academic unit at the College of Engineering Pune that focuses on education and research in areas such as structural, geotechnical, transportation, and environmental engineering.
C. Department of Civil Engineering
The Department of Civil Engineering at IIT Kharagpur is a leading academic and research unit in India focused on education and innovation in structural, geotechnical, transportation, environmental, and water resources engineering.
D. Department of Civil Engineering
The Department of Civil Engineering at the University of Tokyo is a leading academic and research unit focused on infrastructure, environmental systems, and urban and regional development.
E. Department of Civil Engineering
The Department of Civil Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research across structural, geotechnical, transportation, and environmental engineering disciplines.
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_69d7bdf52b94819096d6f0ba4ab50a98`	completed	April 9, 2026, 2:55 p.m.
NER	Named-entity recognition	`batch_69d96ff11b4481909fb2f92c46186853`	completed	April 10, 2026, 9:47 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f68edd30e881909062e8f91f614990`	completed	May 2, 2026, 11:55 p.m.
NEDg	Description generation	`batch_69f68f8d2ca08190a385635fb6130a9f`	completed	May 2, 2026, 11:58 p.m.
NED2	Entity disambiguation (via description)	`batch_69f69033a66481908bf4ae23fced5983`	completed	May 3, 2026, midnight

Created at: April 9, 2026, 5:35 p.m.