Triple
T9371410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Jiao Tong University Affiliated Ruijin Hospital |
E225537
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Nephrology
The Department of Nephrology at Shanghai Jiao Tong University Affiliated Ruijin Hospital is a specialized clinical and research unit focused on diagnosing, treating, and studying kidney-related diseases.
|
E794863
|
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 Nephrology | Statement: [Shanghai Jiao Tong University Affiliated Ruijin Hospital, hasDepartment, Department of Nephrology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Nephrology Context triple: [Shanghai Jiao Tong University Affiliated Ruijin Hospital, hasDepartment, Department of Nephrology]
-
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 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.
-
C.
Division of Nephrology, Johns Hopkins University
The Division of Nephrology at Johns Hopkins University is a leading academic and clinical center specializing in kidney disease research, education, and patient care.
-
D.
Department of Medicine
The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
-
E.
Department of Medicine
The Department of Medicine at NYU Grossman School of Medicine is a major academic clinical department focused on internal medicine education, research, and patient care.
- 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 Nephrology Triple: [Shanghai Jiao Tong University Affiliated Ruijin Hospital, hasDepartment, Department of Nephrology]
Generated description
The Department of Nephrology at Shanghai Jiao Tong University Affiliated Ruijin Hospital is a specialized clinical and research unit focused on diagnosing, treating, and studying kidney-related diseases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Nephrology Target entity description: The Department of Nephrology at Shanghai Jiao Tong University Affiliated Ruijin Hospital is a specialized clinical and research unit focused on diagnosing, treating, and studying kidney-related 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 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.
-
C.
Division of Nephrology, Johns Hopkins University
The Division of Nephrology at Johns Hopkins University is a leading academic and clinical center specializing in kidney disease research, education, and patient care.
-
D.
Department of Medicine
The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
-
E.
Department of Medicine
The Department of Medicine at NYU Grossman School of Medicine is a major academic clinical department focused on internal medicine education, research, and patient care.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f411bb2c819091b67c70956c546b |
completed | April 4, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d0f5e382d88190bfb61c8e3a6cd646 |
completed | April 4, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f6544b008190b220687c5e9abac3 |
completed | April 4, 2026, 11:30 a.m. |
Created at: March 30, 2026, 7:43 p.m.