Triple
T3214951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goshichi no kiri |
E67370
|
entity |
| Predicate | flowerClusterPattern |
P1351
|
FINISHED |
| Object | 5-7-5 flowers |
—
|
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: 5-7-5 flowers | Statement: [Goshichi no kiri, flowerClusterPattern, 5-7-5 flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerClusterPattern Context triple: [Goshichi no kiri, flowerClusterPattern, 5-7-5 flowers]
-
A.
flowerPosition
Indicates the spatial location or arrangement of a flower relative to a reference object or coordinate system.
-
B.
flowerSymmetry
Indicates the type or pattern of symmetry exhibited by a flower’s structure or arrangement of its parts.
-
C.
flowerStructure
chosen
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
-
D.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
E.
petalMarkings
Indicates the pattern, color, or distinctive markings present on the petals of a flower in relation to the flower they belong to.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab085a408190af9fb40acca31a5f |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.