Triple
T35745509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Patients: Life and Death at Bellevue Hospital |
E1033166
|
entity |
| Predicate | numberOfPatientsDescribed |
—
|
GENERATED |
| Object | 12 |
—
|
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: numberOfPatientsDescribed Context triple: [Twelve Patients: Life and Death at Bellevue Hospital, numberOfPatientsDescribed, 12]
-
A.
numberOfDescribedDrugs
Indicates the quantity of drugs that are being described or specified in a given context.
-
B.
numberOfHospitalized
Indicates the count of individuals who have been admitted to a hospital for medical care.
-
C.
numberOfSystemsDescribed
Indicates the total count of distinct systems that are described or referenced in relation to a given subject.
-
D.
numberOfAnnualPatientVisits
Indicates the total count of patient visits that occur over the course of one year.
-
E.
representsToPatients
Indicates that an entity serves as a representative or acts on behalf of patients in some context or interaction.
- F. None of above. chosen
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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.