Triple
T37883759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Clinical College |
E944941
|
entity |
| Predicate | associatedMedicalSchool |
—
|
GENERATED |
| Object | Tongji Medical College |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMedicalSchool Context triple: [First Clinical College, associatedMedicalSchool, Tongji Medical College]
-
A.
medicalSchool
Indicates that one entity serves as the medical school where the other entity received medical education or training.
-
B.
hasMedicalCollege
chosen
Indicates that one entity possesses, hosts, or includes a medical college as part of its organization or structure.
-
C.
foundedAsMedicalSchoolOf
Indicates that an institution was originally established as the medical school component of another institution.
-
D.
coordinatesMedicalEducation
Indicates that one entity organizes, manages, or oversees the medical education activities or programs involving another entity.
-
E.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
- F. None of above.
Provenance (1 batch)
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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.