Triple
T31999886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roussel symphonies |
E817093
|
entity |
| Predicate | primaryPerformanceVenueType |
—
|
GENERATED |
| Object | concert hall |
—
|
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: primaryPerformanceVenueType Context triple: [Roussel symphonies, primaryPerformanceVenueType, concert hall]
-
A.
primaryVenueFor
Indicates that one entity serves as the main or principal venue or location for events, activities, or operations associated with another entity.
-
B.
intendedPerformanceVenue
Indicates the venue or location where a performance is planned or intended to take place.
-
C.
hasPerformanceVenueType
Indicates that an entity is associated with, or classified by, a particular type of performance venue.
-
D.
primaryVenues
Indicates the main or most important venues associated with or used by a given entity.
-
E.
originalPerformanceVenue
Indicates the venue where a performance was first originally presented or premiered.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:14 a.m.