Triple
T7920482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Medicine, Johns Hopkins University |
E183931
|
entity |
| Predicate | hasClinicalMission |
P77388
|
FINISHED |
| Object | inpatient 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: inpatient care | Statement: [Department of Medicine, Johns Hopkins University, hasClinicalMission, inpatient care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClinicalMission Context triple: [Department of Medicine, Johns Hopkins University, hasClinicalMission, inpatient care]
-
A.
hasClinicalService
chosen
Indicates that an entity provides, offers, or is associated with a specific clinical service.
-
B.
hasClinicalUnit
Indicates that an entity is associated with or belongs to a specific clinical unit or department within a healthcare setting.
-
C.
hasPublicServiceMission
Indicates that an entity is obligated or committed to provide services that serve the public interest or fulfill a public-benefit mandate.
-
D.
hasMissionAgency
Indicates that an entity is associated with, overseen by, or carried out under the responsibility of a particular mission agency.
-
E.
hasMedicalCorps
Indicates that an entity possesses, maintains, or is associated with an organized medical corps or medical service unit.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a9360f881908ca2433d0623315b |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:06 p.m.