Triple
T9306670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Blackburn Hospital |
E223902
|
entity |
| Predicate | hasSurgicalServices |
P77388
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: hasSurgicalServices Context triple: [Royal Blackburn Hospital, hasSurgicalServices, yes]
-
A.
hasClinicalService
chosen
Indicates that an entity provides, offers, or is associated with a specific clinical service.
-
B.
hasSurgery
Indicates that a surgical procedure is performed on or undergone by an entity.
-
C.
hasDiagnosticService
Indicates that an entity provides, is associated with, or makes use of a diagnostic service for detecting, analyzing, or identifying issues or conditions.
-
D.
surgicalField
Indicates the specific anatomical area or region of the body on which a surgical procedure is performed.
-
E.
operatedTheatersIn
Indicates that an entity managed or ran the day-to-day operations of one or more theaters in a specified location or context.
- F. None of above.
Provenance (2 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.