Triple
T32742128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resurrection |
E837243
|
entity |
| Predicate | associatedWithPremiereCity |
—
|
GENERATED |
| Object | Berlin |
—
|
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: associatedWithPremiereCity Context triple: [Resurrection, associatedWithPremiereCity, Berlin]
-
A.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
-
B.
premieredWith
Indicates that one entity made its first public debut or initial showing together with another entity, at the same time or in the same event.
-
C.
composerAssociatedWithPremieres
Indicates that a composer is connected to the first public performances (premieres) of specific musical works.
-
D.
hasAssociatedCity
Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
-
E.
associatedCityState
Indicates a relationship where a city is linked to the state with which it is formally or contextually connected.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:12 a.m.