Triple
T11751991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongji Medical College of Huazhong University of Science and Technology |
E279428
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
Wuhan Central Hospital
Wuhan Central Hospital is a major teaching and general hospital in Wuhan, China, known for its role in clinical care, medical education, and early treatment of some of the first COVID-19 cases.
|
E945341
|
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: Wuhan Central Hospital | Statement: [Tongji Medical College of Huazhong University of Science and Technology, affiliatedWith, Wuhan Central Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuhan Central Hospital Context triple: [Tongji Medical College of Huazhong University of Science and Technology, affiliatedWith, Wuhan Central Hospital]
-
A.
Wuhan Union Hospital
Wuhan Union Hospital is a major comprehensive teaching and research hospital in Wuhan, China, affiliated with Tongji Medical College of Huazhong University of Science and Technology.
-
B.
Wuhan Children’s Hospital
Wuhan Children’s Hospital is a major pediatric medical center in Wuhan, China, providing specialized healthcare services, teaching, and research for children.
-
C.
Xiehe Hospital
Xiehe Hospital is a leading tertiary teaching hospital in Beijing renowned for its high-quality medical care, research, and affiliation with Peking Union Medical College.
-
D.
Liyuan Hospital
Liyuan Hospital is a major teaching and clinical hospital in China that serves as an affiliated medical institution of Tongji Medical College of Huazhong University of Science and Technology.
-
E.
Tongji Medical College of Huazhong University of Science and Technology
Tongji Medical College of Huazhong University of Science and Technology is a leading medical school in China known for its comprehensive medical education, research, and affiliated teaching hospitals.
- 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: Wuhan Central Hospital Triple: [Tongji Medical College of Huazhong University of Science and Technology, affiliatedWith, Wuhan Central Hospital]
Generated description
Wuhan Central Hospital is a major teaching and general hospital in Wuhan, China, known for its role in clinical care, medical education, and early treatment of some of the first COVID-19 cases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuhan Central Hospital Target entity description: Wuhan Central Hospital is a major teaching and general hospital in Wuhan, China, known for its role in clinical care, medical education, and early treatment of some of the first COVID-19 cases.
-
A.
Wuhan Union Hospital
Wuhan Union Hospital is a major comprehensive teaching and research hospital in Wuhan, China, affiliated with Tongji Medical College of Huazhong University of Science and Technology.
-
B.
Wuhan Children’s Hospital
Wuhan Children’s Hospital is a major pediatric medical center in Wuhan, China, providing specialized healthcare services, teaching, and research for children.
-
C.
Xiehe Hospital
Xiehe Hospital is a leading tertiary teaching hospital in Beijing renowned for its high-quality medical care, research, and affiliation with Peking Union Medical College.
-
D.
Liyuan Hospital
Liyuan Hospital is a major teaching and clinical hospital in China that serves as an affiliated medical institution of Tongji Medical College of Huazhong University of Science and Technology.
-
E.
Tongji Medical College of Huazhong University of Science and Technology
Tongji Medical College of Huazhong University of Science and Technology is a leading medical school in China known for its comprehensive medical education, research, and affiliated teaching hospitals.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090416334819084dc63d896c0c04a |
completed | April 28, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69f0bd36673881908530b68e496c3d2e |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0eec1f5d081908624fe2a93995fe5 |
completed | April 28, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:41 p.m.