Triple
T9371407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Jiao Tong University Affiliated Ruijin Hospital |
E225537
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Hematology
The Department of Hematology is a specialized clinical and research unit at Shanghai Jiao Tong University Affiliated Ruijin Hospital focused on diagnosing and treating blood disorders and hematologic malignancies.
|
E794860
|
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 Hematology | Statement: [Shanghai Jiao Tong University Affiliated Ruijin Hospital, hasDepartment, Department of Hematology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Hematology Context triple: [Shanghai Jiao Tong University Affiliated Ruijin Hospital, hasDepartment, Department of Hematology]
-
A.
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.
-
B.
Division of Hematology, Johns Hopkins University
The Division of Hematology at Johns Hopkins University is a leading academic and clinical program specializing in the research, diagnosis, and treatment of blood disorders and hematologic malignancies.
-
C.
Department of Haematology, University of Cambridge
The Department of Haematology at the University of Cambridge is a leading academic and research centre focused on the biology, diagnosis, and treatment of blood disorders and related diseases.
-
D.
Department of Oncology
The Department of Oncology at AIIMS Delhi is a major clinical and research center in India dedicated to the diagnosis, treatment, and study of cancer.
-
E.
Department of Oncology
The Department of Oncology at the University Medical Center Göttingen is a clinical and research unit specializing in the diagnosis, treatment, and study of cancer.
- 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 Hematology Triple: [Shanghai Jiao Tong University Affiliated Ruijin Hospital, hasDepartment, Department of Hematology]
Generated description
The Department of Hematology is a specialized clinical and research unit at Shanghai Jiao Tong University Affiliated Ruijin Hospital focused on diagnosing and treating blood disorders and hematologic malignancies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Hematology Target entity description: The Department of Hematology is a specialized clinical and research unit at Shanghai Jiao Tong University Affiliated Ruijin Hospital focused on diagnosing and treating blood disorders and hematologic malignancies.
-
A.
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.
-
B.
Division of Hematology, Johns Hopkins University
The Division of Hematology at Johns Hopkins University is a leading academic and clinical program specializing in the research, diagnosis, and treatment of blood disorders and hematologic malignancies.
-
C.
Department of Haematology, University of Cambridge
The Department of Haematology at the University of Cambridge is a leading academic and research centre focused on the biology, diagnosis, and treatment of blood disorders and related diseases.
-
D.
Department of Oncology
The Department of Oncology at AIIMS Delhi is a major clinical and research center in India dedicated to the diagnosis, treatment, and study of cancer.
-
E.
Department of Oncology
The Department of Oncology at the University Medical Center Göttingen is a clinical and research unit specializing in the diagnosis, treatment, and study of cancer.
- 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.