Triple
T16006564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Hospital for the Treatment of Smallpox and other Diseases of the Skin |
E388234
|
entity |
| Predicate | patientSelection |
P59096
|
FINISHED |
| Object | primarily poor patients |
—
|
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: primarily poor patients | Statement: [Free Hospital for the Treatment of Smallpox and other Diseases of the Skin, patientSelection, primarily poor patients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patientSelection Context triple: [Free Hospital for the Treatment of Smallpox and other Diseases of the Skin, patientSelection, primarily poor patients]
-
A.
hasPatient
Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
-
B.
primaryPatientType
chosen
Indicates the main category or classification of patient that is primarily associated with or targeted by an entity, action, or service.
-
C.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
D.
servedPerson
Indicates that one entity has provided service, assistance, or attention to another entity.
-
E.
hasPatientGroup
Indicates a relationship in which an entity (such as a study, treatment, or clinical activity) is associated with a specific group of patients it involves or targets.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.