Triple

T5959207

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Science (University of British Columbia)	`E132591`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Department of Microbiology and Immunology (University of British Columbia) The Department of Microbiology and Immunology at the University of British Columbia is an academic unit specializing in research and education on microorganisms, infectious diseases, and immune system function.	`E557773`	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 Microbiology and Immunology (University of British Columbia) | Statement: [Faculty of Science (University of British Columbia), hasDepartment, Department of Microbiology and Immunology (University of British Columbia)]

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

Target entity: Department of Microbiology and Immunology (University of British Columbia)
Context triple: [Faculty of Science (University of British Columbia), hasDepartment, Department of Microbiology and Immunology (University of British Columbia)]

A. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at McGill University dedicated to research and education in infectious diseases, host–pathogen interactions, and immune system function.
B. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at the UNC School of Medicine focused on research and education in infectious diseases, host immune responses, and related biomedical sciences.
C. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at Cornell University's College of Veterinary Medicine that focuses on research and education in infectious diseases, host–pathogen interactions, and immune system function.
D. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic and research unit specializing in the study of microorganisms and the immune system within the Geisel School of Medicine.
E. Department of Microbiology and Immunobiology
The Department of Microbiology and Immunobiology is an academic research and teaching unit at the University of Vienna focused on the biology of microorganisms and the immune system.
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 Microbiology and Immunology (University of British Columbia)
Triple: [Faculty of Science (University of British Columbia), hasDepartment, Department of Microbiology and Immunology (University of British Columbia)]

Generated description

The Department of Microbiology and Immunology at the University of British Columbia is an academic unit specializing in research and education on microorganisms, infectious diseases, and immune system function.

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

Target entity: Department of Microbiology and Immunology (University of British Columbia)
Target entity description: The Department of Microbiology and Immunology at the University of British Columbia is an academic unit specializing in research and education on microorganisms, infectious diseases, and immune system function.

A. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at McGill University dedicated to research and education in infectious diseases, host–pathogen interactions, and immune system function.
B. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at the UNC School of Medicine focused on research and education in infectious diseases, host immune responses, and related biomedical sciences.
C. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at Cornell University's College of Veterinary Medicine that focuses on research and education in infectious diseases, host–pathogen interactions, and immune system function.
D. Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic and research unit specializing in the study of microorganisms and the immune system within the Geisel School of Medicine.
E. Department of Microbiology and Immunobiology
The Department of Microbiology and Immunobiology is an academic research and teaching unit at the University of Vienna focused on the biology of microorganisms and the immune system.
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_69c0086c2364819091e9fe2f58fa2517`	completed	March 22, 2026, 3:19 p.m.
NER	Named-entity recognition	`batch_69c039fbf49881909d97b4abb3c5286d`	completed	March 22, 2026, 6:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c0e3e3736c8190b445156f0c1bdf1f`	completed	March 23, 2026, 6:55 a.m.
NEDg	Description generation	`batch_69c0ec751abc8190a1f6d09e8c47cd59`	completed	March 23, 2026, 7:32 a.m.
NED2	Entity disambiguation (via description)	`batch_69c0ed1871a88190a2894e7e156478d7`	completed	March 23, 2026, 7:34 a.m.

Created at: March 22, 2026, 4:02 p.m.