Triple

T12534259

Position	Surface form	Disambiguated ID	Type / Status
Subject	Frederiksberg Campus	`E299647`	entity
Predicate	hosts	`P186`	FINISHED
Object	Department of Food Science, University of Copenhagen The Department of Food Science at the University of Copenhagen is a leading academic and research institution focused on food science, technology, and nutrition, contributing to innovation and education in the food sector.	`E988556`	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 Food Science, University of Copenhagen | Statement: [Frederiksberg Campus, hosts, Department of Food Science, University of Copenhagen]

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

Target entity: Department of Food Science, University of Copenhagen
Context triple: [Frederiksberg Campus, hosts, Department of Food Science, University of Copenhagen]

A. Department of Food Science (Purdue University)
The Department of Food Science at Purdue University is an academic unit specializing in food chemistry, safety, processing, and engineering within Purdue’s College of Agriculture.
B. Department of Food Science
The Department of Food Science is an academic unit within the Ontario Agricultural College that focuses on teaching and research in food chemistry, safety, processing, and product development.
C. Department of Food Science
The Department of Food Science is an academic unit at Cornell University specializing in the study and advancement of food chemistry, safety, processing, and sensory science.
D. Department of Food Science and Biotechnology
The Department of Food Science and Biotechnology is an academic unit at Kyoto University specializing in research and education on food chemistry, safety, processing, and biotechnological applications in agriculture and nutrition.
E. Department of Food Science and Technology
The Department of Food Science and Technology is an academic unit focused on research and education in food chemistry, safety, processing, and innovation within the broader fields of food and wine 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 Food Science, University of Copenhagen
Triple: [Frederiksberg Campus, hosts, Department of Food Science, University of Copenhagen]

Generated description

The Department of Food Science at the University of Copenhagen is a leading academic and research institution focused on food science, technology, and nutrition, contributing to innovation and education in the food sector.

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

Target entity: Department of Food Science, University of Copenhagen
Target entity description: The Department of Food Science at the University of Copenhagen is a leading academic and research institution focused on food science, technology, and nutrition, contributing to innovation and education in the food sector.

A. Department of Food Science (Purdue University)
The Department of Food Science at Purdue University is an academic unit specializing in food chemistry, safety, processing, and engineering within Purdue’s College of Agriculture.
B. Department of Food Science
The Department of Food Science is an academic unit within the Ontario Agricultural College that focuses on teaching and research in food chemistry, safety, processing, and product development.
C. Department of Food Science
The Department of Food Science is an academic unit at Cornell University specializing in the study and advancement of food chemistry, safety, processing, and sensory science.
D. Department of Food Science and Biotechnology
The Department of Food Science and Biotechnology is an academic unit at Kyoto University specializing in research and education on food chemistry, safety, processing, and biotechnological applications in agriculture and nutrition.
E. Department of Food Science and Technology
The Department of Food Science and Technology is an academic unit focused on research and education in food chemistry, safety, processing, and innovation within the broader fields of food and wine science.
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_69d6ada5cdd48190860d9ce30aff69be`	completed	April 8, 2026, 7:33 p.m.
NER	Named-entity recognition	`batch_69d9546b8fd48190ae90e80785b2e2d1`	completed	April 10, 2026, 7:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f64bc9b9ec8190a25e2658d79836bc`	completed	May 2, 2026, 7:08 p.m.
NEDg	Description generation	`batch_69f64da25bf88190889273bf41e2f154`	completed	May 2, 2026, 7:16 p.m.
NED2	Entity disambiguation (via description)	`batch_69f65213ed84819086fda178aaf9e774`	completed	May 2, 2026, 7:35 p.m.

Created at: April 8, 2026, 9:57 p.m.