Triple

T195637

Position	Surface form	Disambiguated ID	Type / Status
Subject	Department of Radiology, Duke University	`E3813`	entity
Predicate	offersProgram	`P178`	FINISHED
Object	Diagnostic Radiology Residency Diagnostic Radiology Residency is a postgraduate medical training program that prepares physicians to become board-certified radiologists through comprehensive education in imaging techniques, image interpretation, and patient-centered diagnostic care.	`E24888`	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: Diagnostic Radiology Residency | Statement: [Department of Radiology, Duke University, offersProgram, Diagnostic Radiology Residency]

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

Target entity: Diagnostic Radiology Residency
Context triple: [Department of Radiology, Duke University, offersProgram, Diagnostic Radiology Residency]

A. Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
B. Department of Radiology, Duke University
The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
C. Department of Radiology, University of Cambridge
The Department of Radiology at the University of Cambridge is a leading academic and clinical center for imaging research, education, and diagnostic radiology within the university’s medical school.
D. DNB
DNB is the standard abbreviation for the Dictionary of National Biography, a major reference work containing biographical articles on notable figures from British history.
E. CT
CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
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: Diagnostic Radiology Residency
Triple: [Department of Radiology, Duke University, offersProgram, Diagnostic Radiology Residency]

Generated description

Diagnostic Radiology Residency is a postgraduate medical training program that prepares physicians to become board-certified radiologists through comprehensive education in imaging techniques, image interpretation, and patient-centered diagnostic care.

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

Target entity: Diagnostic Radiology Residency
Target entity description: Diagnostic Radiology Residency is a postgraduate medical training program that prepares physicians to become board-certified radiologists through comprehensive education in imaging techniques, image interpretation, and patient-centered diagnostic care.

A. Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
B. Department of Radiology, Duke University
The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
C. Department of Radiology, University of Cambridge
The Department of Radiology at the University of Cambridge is a leading academic and clinical center for imaging research, education, and diagnostic radiology within the university’s medical school.
D. DNB
DNB is the standard abbreviation for the Dictionary of National Biography, a major reference work containing biographical articles on notable figures from British history.
E. CT
CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
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_69a2548debd48190ae3a06d6e65b53c6`	completed	Feb. 28, 2026, 2:35 a.m.
NER	Named-entity recognition	`batch_69a25983b49c819080f7e161904c53da`	completed	Feb. 28, 2026, 2:57 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69a3115c46688190be8d5e172b4c61ea`	completed	Feb. 28, 2026, 4:01 p.m.
NEDg	Description generation	`batch_69a31466ef108190bbba6fc818a917a3`	completed	Feb. 28, 2026, 4:14 p.m.
NED2	Entity disambiguation (via description)	`batch_69a314cd8a188190926e0bcf70c60e7b`	completed	Feb. 28, 2026, 4:16 p.m.

Created at: Feb. 28, 2026, 2:41 a.m.