Triple
T24552532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awaji Hanasajiki |
E607410
|
entity |
| Predicate | typicalFlower |
P579
|
FINISHED |
| Object | rape blossoms |
—
|
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: rape blossoms | Statement: [Awaji Hanasajiki, typicalFlower, rape blossoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFlower Context triple: [Awaji Hanasajiki, typicalFlower, rape blossoms]
-
A.
flowerType
chosen
Indicates the specific kind or category of flower associated with an entity.
-
B.
hasRegionalFlower
Indicates that a region is associated with a specific flower designated as its symbolic or representative flower.
-
C.
flowerUse
Indicates how a flower is used or purposed in a particular context (e.g., decorative, medicinal, culinary, or symbolic use).
-
D.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
E.
nationalFlower
Indicates that a particular flower is officially designated as the national flower of a country or region.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cf1ef88190977da0fb79796616 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.