Triple
T813433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna State Opera |
E17596
|
entity |
| Predicate | numberOfStandingPlaces |
P19917
|
FINISHED |
| Object | over 500 |
—
|
LITERAL 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: numberOfStandingPlaces Context triple: [Vienna State Opera, numberOfStandingPlaces, over 500]
-
A.
numberOfVenues
Indicates the total count of venues associated with a given entity or context.
-
B.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
C.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
D.
numberOfSites
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
E.
numberOfPositions
Indicates the total count of distinct positions or roles associated with a given entity.
- F. None of above. chosen
Provenance (3 batches)
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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69a4aa73df08819096d0553a4b2509de |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4781c88190ae36906251347cdc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.