Triple
T34939629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | grb Republike Hrvatske |
E1007678
|
entity |
| Predicate | numberOfFields |
—
|
GENERATED |
| Object | 25 |
—
|
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: numberOfFields Context triple: [grb Republike Hrvatske, numberOfFields, 25]
-
A.
hasNumberOfFields
chosen
Indicates the specific count of fields or distinct data elements that an entity possesses.
-
B.
numberOfAttributes
Indicates the total count of distinct attributes or properties associated with a given entity or object.
-
C.
numberOfFieldPeriods
Indicates the total count of distinct field periods associated with or occurring within a given context or entity.
-
D.
numberOfColumns
Indicates the total count of vertical divisions (columns) associated with or contained in a given structure or dataset.
-
E.
hasNumberOfFieldsHorizontally
Indicates the number of fields or columns arranged side by side along the horizontal axis in a given structure or layout.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.