Triple
T38588854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festergut |
E932406
|
entity |
| Predicate | roleInEncounter |
—
|
GENERATED |
| Object | tank-and-spank with heavy raid damage |
—
|
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: roleInEncounter Context triple: [Festergut, roleInEncounter, tank-and-spank with heavy raid damage]
-
A.
teamRoleInEncounters
chosen
Indicates the specific role an entity holds within a team during particular encounters or interactions.
-
B.
roleInAppointments
Indicates the specific function or capacity an entity holds within one or more scheduled appointments.
-
C.
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).
-
D.
clinicalRole
Indicates the specific function, responsibility, or position an entity holds within a clinical or healthcare context.
-
E.
roleInIncident
Indicates the specific function, capacity, or involvement an entity has within a particular incident or event.
- F. None of above.
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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.