Triple
T37539196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sethekk Halls |
E933282
|
entity |
| Predicate | featuresEncounter |
—
|
GENERATED |
| Object | Anzu |
—
|
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: featuresEncounter Context triple: [Sethekk Halls, featuresEncounter, Anzu]
-
A.
settingEncounter
Indicates that an encounter or interaction is taking place within a particular setting or environment.
-
B.
featuresDisease
Indicates that an entity exhibits, presents, or is characterized by a particular disease.
-
C.
encounterStyle
Indicates the manner or format in which two or more entities meet, interact, or come into contact with each other.
-
D.
featuresSituation
chosen
Indicates that a situation is characterized by, or has as one of its defining aspects, the specified feature or element.
-
E.
encounterStructure
Indicates a relationship where an entity comes into contact with or experiences a particular structure or constructed arrangement.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.