Triple
T30556518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Elizabeth’s Hospital, O’Fallon |
E777711
|
entity |
| Predicate | hasPatientCareSetting |
P3296
|
FINISHED |
| Object | hospital campus |
—
|
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: hospital campus | Statement: [St. Elizabeth’s Hospital, O’Fallon, hasPatientCareSetting, hospital campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatientCareSetting Context triple: [St. Elizabeth’s Hospital, O’Fallon, hasPatientCareSetting, hospital campus]
-
A.
focusesOnPatientCareSetting
Indicates that something is concerned with, directed toward, or primarily related to a particular patient care setting.
-
B.
hasPatient
Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
-
C.
providesCareSetting
chosen
Indicates that one entity serves as the care environment or setting in which another entity receives or delivers care.
-
D.
hasPatientRole
Indicates that an entity participates in a relationship or activity specifically in the role of a patient (the one receiving care, treatment, or action).
-
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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 29, 2026, 8:20 p.m.