Triple
T38642389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Sound Studio |
E938632
|
entity |
| Predicate | associatedCityMusicScene |
—
|
GENERATED |
| Object | Memphis music scene |
—
|
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: associatedCityMusicScene Context triple: [American Sound Studio, associatedCityMusicScene, Memphis music scene]
-
A.
associatedWithMusicScene
chosen
Indicates a relationship where an entity is connected or linked to a particular music scene, culture, or community.
-
B.
associatedCityEvent
Indicates a relationship where a city is linked to, involved in, or serves as the location for a particular event.
-
C.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
D.
collaboratingCity
Indicates that two cities are working together in a cooperative or joint effort, such as on projects, initiatives, or shared goals.
-
E.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.