Triple
T37591515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monreale Cathedral |
E935269
|
entity |
| Predicate | numberOfCloisterColumns |
—
|
GENERATED |
| Object | over 200 paired columns |
—
|
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: numberOfCloisterColumns Context triple: [Monreale Cathedral, numberOfCloisterColumns, over 200 paired columns]
-
A.
numberOfCloisters
Indicates the quantity of cloisters associated with a given entity.
-
B.
hasNumberOfCloisterCapitals
Indicates the specific count of cloister capitals associated with a given entity.
-
C.
numberOfColumnsInColonnade
chosen
Indicates the count of individual columns that make up a given colonnade.
-
D.
numberOfColonnades
Indicates the quantity of colonnades associated with a given entity or structure.
-
E.
numberOfEntrancePillars
Indicates the count of entrance pillars associated with or present at a given entity or location.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.