Triple
T28312919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagoshima University Hospital |
E714048
|
entity |
| Predicate | clinicalCenterOf |
P52197
|
FINISHED |
| Object |
Faculty of Medicine, Kagoshima University
The Faculty of Medicine at Kagoshima University is a Japanese medical school and research institution that educates future physicians and health professionals while advancing medical science and clinical practice.
|
E1810538
|
NE FINISHED |
How this triple was built (3 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: Faculty of Medicine, Kagoshima University | Statement: [Kagoshima University Hospital, clinicalCenterOf, Faculty of Medicine, Kagoshima University]
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: Faculty of Medicine, Kagoshima University Triple: [Kagoshima University Hospital, clinicalCenterOf, Faculty of Medicine, Kagoshima University]
Generated description
The Faculty of Medicine at Kagoshima University is a Japanese medical school and research institution that educates future physicians and health professionals while advancing medical science and clinical practice.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicalCenterOf Context triple: [Kagoshima University Hospital, clinicalCenterOf, Faculty of Medicine, Kagoshima University]
-
A.
isClinicalCenter
chosen
Indicates that an entity functions as a clinical center, typically serving as a site for clinical activities such as patient care, clinical trials, or medical research.
-
B.
isKeyClinicalCenterFor
Indicates that one entity serves as the primary clinical coordinating or lead center responsible for managing or overseeing clinical activities for another entity.
-
C.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
D.
hasMedicalCenter
Indicates that an entity possesses, hosts, or is associated with a medical center facility.
-
E.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
- F. None of above.
Provenance (6 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a16073c9f8c8190b1ec9f3a82354f41 |
completed | May 26, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_6a1613d441c081909621186cd6fe1562 |
completed | May 26, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a16141b8d348190b6ed85f7427c7a62 |
completed | May 26, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 11:41 p.m.