Triple
T21580939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Bavaria |
E532519
|
entity |
| Predicate | lozengesCount |
P144339
|
FINISHED |
| Object | indeterminate |
—
|
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: indeterminate | Statement: [Coat of arms of Bavaria, lozengesCount, indeterminate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lozengesCount Context triple: [Coat of arms of Bavaria, lozengesCount, indeterminate]
-
A.
hasNumberOfLancets
Indicates the quantity of lancets associated with or contained in an entity.
-
B.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
C.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
D.
incisorCount
Indicates the number of incisor teeth an entity has.
-
E.
typicalDoseCount
Indicates the usual number of doses administered or taken in a standard course of use.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5c496c819093113dd5790fca48 |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:31 p.m.