Triple
T1119317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Institute of Diabetes and Digestive and Kidney Diseases |
E11172
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Division of Kidney, Urologic, and Hematologic Diseases
The Division of Kidney, Urologic, and Hematologic Diseases is a program within the U.S. National Institutes of Health that supports and coordinates research on kidney, urinary tract, and blood disorders.
|
E129137
|
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: Division of Kidney, Urologic, and Hematologic Diseases | Statement: [National Institute of Diabetes and Digestive and Kidney Diseases, hasPart, Division of Kidney, Urologic, and Hematologic Diseases]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Division of Kidney, Urologic, and Hematologic Diseases Context triple: [National Institute of Diabetes and Digestive and Kidney Diseases, hasPart, Division of Kidney, Urologic, and Hematologic Diseases]
-
A.
Department of Nephrology
The Department of Nephrology is a clinical and research unit specializing in kidney diseases and related therapies within the University Medical Center Göttingen.
-
B.
Division of Lung Diseases
The Division of Lung Diseases is a branch of the National Heart, Lung, and Blood Institute that supports and oversees research and training focused on the causes, prevention, diagnosis, and treatment of lung and respiratory diseases.
-
C.
Department of Urology
The Department of Urology is a clinical and academic unit at the University Medical Center Göttingen specializing in the diagnosis, treatment, and research of diseases of the urinary tract and male reproductive system.
-
D.
Department of Hematology
The Department of Hematology is a clinical and research unit at the University Medical Center Göttingen specializing in the diagnosis and treatment of blood disorders and hematologic malignancies.
-
E.
National Institute of Diabetes and Digestive and Kidney Diseases
The National Institute of Diabetes and Digestive and Kidney Diseases is a U.S. government biomedical research institute that conducts and supports research on diabetes, digestive disorders, kidney diseases, and related metabolic and endocrine conditions.
- 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: Division of Kidney, Urologic, and Hematologic Diseases Triple: [National Institute of Diabetes and Digestive and Kidney Diseases, hasPart, Division of Kidney, Urologic, and Hematologic Diseases]
Generated description
The Division of Kidney, Urologic, and Hematologic Diseases is a program within the U.S. National Institutes of Health that supports and coordinates research on kidney, urinary tract, and blood disorders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Division of Kidney, Urologic, and Hematologic Diseases Target entity description: The Division of Kidney, Urologic, and Hematologic Diseases is a program within the U.S. National Institutes of Health that supports and coordinates research on kidney, urinary tract, and blood disorders.
-
A.
Department of Nephrology
The Department of Nephrology is a clinical and research unit specializing in kidney diseases and related therapies within the University Medical Center Göttingen.
-
B.
Division of Lung Diseases
The Division of Lung Diseases is a branch of the National Heart, Lung, and Blood Institute that supports and oversees research and training focused on the causes, prevention, diagnosis, and treatment of lung and respiratory diseases.
-
C.
Department of Urology
The Department of Urology is a clinical and academic unit at the University Medical Center Göttingen specializing in the diagnosis, treatment, and research of diseases of the urinary tract and male reproductive system.
-
D.
Department of Hematology
The Department of Hematology is a clinical and research unit at the University Medical Center Göttingen specializing in the diagnosis and treatment of blood disorders and hematologic malignancies.
-
E.
National Institute of Diabetes and Digestive and Kidney Diseases
The National Institute of Diabetes and Digestive and Kidney Diseases is a U.S. government biomedical research institute that conducts and supports research on diabetes, digestive disorders, kidney diseases, and related metabolic and endocrine conditions.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbbca3348190a607ce147b2ae70e |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539b6d9881909c3fe5890ae1f889 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac554aec048190821801070d1a4852 |
completed | March 7, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac55afd8c88190b0f2bbafc33ad8b7 |
completed | March 7, 2026, 4:43 p.m. |
Created at: March 1, 2026, 7:43 p.m.