Triple
T30545532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Satakunta |
E777402
|
entity |
| Predicate | numberOfRoses |
P59653
|
FINISHED |
| Object | nine |
—
|
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: nine | Statement: [Coat of arms of Satakunta, numberOfRoses, nine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRoses Context triple: [Coat of arms of Satakunta, numberOfRoses, nine]
-
A.
numberOfRoseVarieties
Indicates the quantitative count of distinct rose varieties associated with an entity.
-
B.
numberOfFlowersDepicted
chosen
Indicates the quantity of flowers shown or represented in an image or depiction.
-
C.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
D.
approximateNumberOfTulips
Indicates that the relationship specifies an estimated or approximate count of tulips associated with an entity.
-
E.
numberOfPlants
Indicates the total count of plants associated with a given entity or context.
- 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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 29, 2026, 8:19 p.m.