Triple

T5086446

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Engineering, University of New Brunswick	`E114648`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Department of Geodesy and Geomatics Engineering, University of New Brunswick The Department of Geodesy and Geomatics Engineering at the University of New Brunswick is a specialized academic unit focused on education and research in surveying, mapping, geospatial information, and related geomatics technologies.	`E491397`	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 Geodesy and Geomatics Engineering, University of New Brunswick | Statement: [Faculty of Engineering, University of New Brunswick, hasDepartment, Department of Geodesy and Geomatics Engineering, University of New Brunswick]

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

Target entity: Department of Geodesy and Geomatics Engineering, University of New Brunswick
Context triple: [Faculty of Engineering, University of New Brunswick, hasDepartment, Department of Geodesy and Geomatics Engineering, University of New Brunswick]

A. School of Geodesy and Geomatics
The School of Geodesy and Geomatics is a specialized academic unit focused on surveying, mapping, remote sensing, and geographic information science within Wuhan University.
B. Faculty of Geodesy and Cartography
The Faculty of Geodesy and Cartography is an academic unit specializing in geodesy, cartography, and related spatial sciences at the Warsaw University of Technology.
C. Faculty of Engineering, McGill University
The Faculty of Engineering at McGill University is a leading Canadian engineering school offering a wide range of undergraduate and graduate programs in engineering and related disciplines, known for its strong research output and international reputation.
D. Geological Survey of Canada
The Geological Survey of Canada is a federal scientific agency that conducts research, mapping, and monitoring of Canada’s geology, natural resources, and geohazards.
E. Cold Regions Research and Engineering Laboratory
The Cold Regions Research and Engineering Laboratory is a U.S. Army research facility specializing in science and engineering solutions for operations and infrastructure in cold and polar environments.
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 Geodesy and Geomatics Engineering, University of New Brunswick
Triple: [Faculty of Engineering, University of New Brunswick, hasDepartment, Department of Geodesy and Geomatics Engineering, University of New Brunswick]

Generated description

The Department of Geodesy and Geomatics Engineering at the University of New Brunswick is a specialized academic unit focused on education and research in surveying, mapping, geospatial information, and related geomatics technologies.

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

Target entity: Department of Geodesy and Geomatics Engineering, University of New Brunswick
Target entity description: The Department of Geodesy and Geomatics Engineering at the University of New Brunswick is a specialized academic unit focused on education and research in surveying, mapping, geospatial information, and related geomatics technologies.

A. School of Geodesy and Geomatics
The School of Geodesy and Geomatics is a specialized academic unit focused on surveying, mapping, remote sensing, and geographic information science within Wuhan University.
B. Faculty of Geodesy and Cartography
The Faculty of Geodesy and Cartography is an academic unit specializing in geodesy, cartography, and related spatial sciences at the Warsaw University of Technology.
C. Faculty of Engineering, McGill University
The Faculty of Engineering at McGill University is a leading Canadian engineering school offering a wide range of undergraduate and graduate programs in engineering and related disciplines, known for its strong research output and international reputation.
D. Geological Survey of Canada
The Geological Survey of Canada is a federal scientific agency that conducts research, mapping, and monitoring of Canada’s geology, natural resources, and geohazards.
E. Cold Regions Research and Engineering Laboratory
The Cold Regions Research and Engineering Laboratory is a U.S. Army research facility specializing in science and engineering solutions for operations and infrastructure in cold and polar environments.
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_69bd443e941881908eb4e8c685b6f656`	completed	March 20, 2026, 12:57 p.m.
NER	Named-entity recognition	`batch_69bd751fb6dc8190be674c92a17e8c0e`	completed	March 20, 2026, 4:26 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69beb13fd3a88190b5a665ba56fdd455`	completed	March 21, 2026, 2:54 p.m.
NEDg	Description generation	`batch_69beb1c184248190b99067d257564ad8`	completed	March 21, 2026, 2:57 p.m.
NED2	Entity disambiguation (via description)	`batch_69beb22dff6c8190896f65d659a32b28`	completed	March 21, 2026, 2:58 p.m.

Created at: March 20, 2026, 1:40 p.m.