Triple
T37867701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Aargau |
E944519
|
entity |
| Predicate | numberOfWavyBends |
P204435
|
FINISHED |
| Object | 3 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 3 | Statement: [Coat of arms of Aargau, numberOfWavyBends, 3]
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 (4 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.