Triple
T26321256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Saint Barthélemy |
E662116
|
entity |
| Predicate | fleursDeLisCount |
P59653
|
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 Saint Barthélemy, fleursDeLisCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleursDeLisCount Context triple: [coat of arms of Saint Barthélemy, fleursDeLisCount, 3]
-
A.
numberOfFlowersDepicted
chosen
Indicates the quantity of flowers shown or represented in an image or depiction.
-
B.
numberOfSunflowersDepicted
Indicates the count of sunflower instances shown within a given depiction or representation.
-
C.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
D.
hasMainFloralSymbol
Indicates that an entity is associated with a primary or most representative floral symbol.
-
E.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
- F. None of above.
Provenance (3 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f2bce2881909a81127b9824b3cd |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:28 p.m.