Triple
T37627410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | main Louis Kahn building |
E936247
|
entity |
| Predicate | numberOfVaults |
—
|
GENERATED |
| Object | 16 |
—
|
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: numberOfVaults Context triple: [main Louis Kahn building, numberOfVaults, 16]
-
A.
vaultNumber
Indicates a relationship where a specific vault is identified or referenced by its assigned number.
-
B.
heightOfVaults
Indicates the measured vertical dimension or elevation of vault structures.
-
C.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
D.
numberOfVestibules
Indicates the quantity of vestibules associated with or present in an entity.
-
E.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.