Triple
T11507696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Medicine, Tsinghua University |
E272828
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
Tsinghua University-affiliated hospitals
Tsinghua University-affiliated hospitals are a network of teaching and research medical centers in China that provide clinical training and healthcare services in partnership with Tsinghua University’s School of Medicine.
|
E930417
|
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: Tsinghua University-affiliated hospitals | Statement: [School of Medicine, Tsinghua University, affiliatedWith, Tsinghua University-affiliated hospitals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsinghua University-affiliated hospitals Context triple: [School of Medicine, Tsinghua University, affiliatedWith, Tsinghua University-affiliated hospitals]
-
A.
Peking University Medical School
Peking University Medical School is a leading Chinese medical education and research institution renowned for training prominent physicians and scientists, including Nobel laureate Tu Youyou.
-
B.
Huashan Hospital affiliated to Fudan University
Huashan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its advanced medical services and clinical specialties.
-
C.
Zhongshan Hospital affiliated to Fudan University
Zhongshan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its comprehensive medical services and clinical excellence.
-
D.
Chinese Academy of Medical Sciences
The Chinese Academy of Medical Sciences is a leading national medical research institution in China, renowned for its comprehensive biomedical research, education, and clinical innovation.
-
E.
Peking Union Medical College Hospital, Beijing, Republic of China
Peking Union Medical College Hospital in Beijing is a leading Chinese teaching and research hospital historically associated with major political and medical events in modern China.
- 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: Tsinghua University-affiliated hospitals Triple: [School of Medicine, Tsinghua University, affiliatedWith, Tsinghua University-affiliated hospitals]
Generated description
Tsinghua University-affiliated hospitals are a network of teaching and research medical centers in China that provide clinical training and healthcare services in partnership with Tsinghua University’s School of Medicine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsinghua University-affiliated hospitals Target entity description: Tsinghua University-affiliated hospitals are a network of teaching and research medical centers in China that provide clinical training and healthcare services in partnership with Tsinghua University’s School of Medicine.
-
A.
Peking University Medical School
Peking University Medical School is a leading Chinese medical education and research institution renowned for training prominent physicians and scientists, including Nobel laureate Tu Youyou.
-
B.
Huashan Hospital affiliated to Fudan University
Huashan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its advanced medical services and clinical specialties.
-
C.
Zhongshan Hospital affiliated to Fudan University
Zhongshan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its comprehensive medical services and clinical excellence.
-
D.
Chinese Academy of Medical Sciences
The Chinese Academy of Medical Sciences is a leading national medical research institution in China, renowned for its comprehensive biomedical research, education, and clinical innovation.
-
E.
Peking Union Medical College Hospital, Beijing, Republic of China
Peking Union Medical College Hospital in Beijing is a leading Chinese teaching and research hospital historically associated with major political and medical events in modern China.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624f5c9608190bde28a59860b3c93 |
completed | April 20, 2026, 1:07 p.m. |
| NEDg | Description generation | batch_69e62cf44018819094818f11ac653763 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e674c3a98c8190b32dc6879cb3a5f9 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 8, 2026, 9:36 p.m.