Triple
T16731152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Agricultural University |
E406593
|
entity |
| Predicate | hasAffiliatedHospital |
P20607
|
FINISHED |
| Object |
China Agricultural University Veterinary Teaching Hospital
China Agricultural University Veterinary Teaching Hospital is a major veterinary clinical, teaching, and research center in China that provides animal healthcare services while training veterinary students and supporting academic studies.
|
E1230210
|
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: China Agricultural University Veterinary Teaching Hospital | Statement: [China Agricultural University, hasAffiliatedHospital, China Agricultural University Veterinary Teaching Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Agricultural University Veterinary Teaching Hospital Context triple: [China Agricultural University, hasAffiliatedHospital, China Agricultural University Veterinary Teaching Hospital]
-
A.
Jockey Club College of Veterinary Medicine and Life Sciences
Jockey Club College of Veterinary Medicine and Life Sciences is a specialized academic unit of the City University of Hong Kong focused on veterinary education, biomedical research, and life sciences.
-
B.
Seoul National University College of Veterinary Medicine
Seoul National University College of Veterinary Medicine is a leading veterinary education and research institution in South Korea, renowned for training veterinarians and advancing animal health and biomedical sciences.
-
C.
Kitasato University School of Veterinary Medicine
Kitasato University School of Veterinary Medicine is a Japanese veterinary education and research institution known for training veterinarians and conducting studies in animal health and biomedical sciences.
-
D.
Royal Veterinary and Agricultural University
The Royal Veterinary and Agricultural University was a Danish higher education institution specializing in veterinary science and agricultural studies, later incorporated into the University of Copenhagen.
-
E.
University of Copenhagen Veterinary Teaching Hospital
The University of Copenhagen Veterinary Teaching Hospital is a clinical and educational facility where veterinary students receive practical training while providing animal healthcare services.
- 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: China Agricultural University Veterinary Teaching Hospital Triple: [China Agricultural University, hasAffiliatedHospital, China Agricultural University Veterinary Teaching Hospital]
Generated description
China Agricultural University Veterinary Teaching Hospital is a major veterinary clinical, teaching, and research center in China that provides animal healthcare services while training veterinary students and supporting academic studies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: China Agricultural University Veterinary Teaching Hospital Target entity description: China Agricultural University Veterinary Teaching Hospital is a major veterinary clinical, teaching, and research center in China that provides animal healthcare services while training veterinary students and supporting academic studies.
-
A.
Jockey Club College of Veterinary Medicine and Life Sciences
Jockey Club College of Veterinary Medicine and Life Sciences is a specialized academic unit of the City University of Hong Kong focused on veterinary education, biomedical research, and life sciences.
-
B.
Seoul National University College of Veterinary Medicine
Seoul National University College of Veterinary Medicine is a leading veterinary education and research institution in South Korea, renowned for training veterinarians and advancing animal health and biomedical sciences.
-
C.
Kitasato University School of Veterinary Medicine
Kitasato University School of Veterinary Medicine is a Japanese veterinary education and research institution known for training veterinarians and conducting studies in animal health and biomedical sciences.
-
D.
Royal Veterinary and Agricultural University
The Royal Veterinary and Agricultural University was a Danish higher education institution specializing in veterinary science and agricultural studies, later incorporated into the University of Copenhagen.
-
E.
University of Copenhagen Veterinary Teaching Hospital
The University of Copenhagen Veterinary Teaching Hospital is a clinical and educational facility where veterinary students receive practical training while providing animal healthcare services.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874bd7648190a6a7d173d4b497a7 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009dd925308190a82c6ef014b37333 |
completed | May 10, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e9b9874819084060408cdc44d0b |
completed | May 10, 2026, 3:04 p.m. |
Created at: April 10, 2026, 5:20 a.m.