Triple
T103354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Surgery, Duke University |
E2087
|
entity |
| Predicate | hasAcademicMission |
P3739
|
FINISHED |
| Object | clinical care |
—
|
LITERAL FINISHED |
How this triple was built (2 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: clinical care | Statement: [Department of Surgery, Duke University, hasAcademicMission, clinical care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicMission Context triple: [Department of Surgery, Duke University, hasAcademicMission, clinical care]
-
A.
hasEducationalMission
chosen
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
B.
hasAcademicDepartment
Indicates that an institution or organization includes or is associated with a specific academic department.
-
C.
hasAcademicStaff
Indicates that an institution or organization employs or is associated with one or more academic staff members.
-
D.
hasAcademicUnit
Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
-
E.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
- F. None of above.
Provenance (3 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.