Triple
T37867701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Aargau |
E944519
|
entity |
| Predicate | numberOfWavyBends |
—
|
GENERATED |
| Object | 3 |
—
|
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: numberOfWavyBends Context triple: [Coat of arms of Aargau, numberOfWavyBends, 3]
-
A.
numberOfWaves
Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
-
B.
hasNumberOfPrebends
Indicates the relationship specifying how many prebends (stipendiary church positions or benefices) are associated with a given entity.
-
C.
twistCount
Indicates the number of twists or rotational turns applied or present in the relationship between the related entities.
-
D.
hasWaveShape
Indicates that one entity exhibits or possesses a particular wave-like geometric or physical shape in relation to another.
-
E.
numberOfHumps
Indicates the quantity of humps possessed by 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.