Triple
T393900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Seal of Japan |
E8938
|
entity |
| Predicate | petalCount |
P12542
|
FINISHED |
| Object | 16 front petals |
—
|
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: 16 front petals | Statement: [Imperial Seal of Japan, petalCount, 16 front petals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petalCount Context triple: [Imperial Seal of Japan, petalCount, 16 front petals]
-
A.
petalMarkings
Indicates the pattern, color, or distinctive markings present on the petals of a flower in relation to the flower they belong to.
-
B.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
C.
petalTexture
Indicates the type or quality of surface texture exhibited by a flower’s petals.
-
D.
flowerSymmetry
Indicates the type or pattern of symmetry exhibited by a flower’s structure or arrangement of its parts.
-
E.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec77a8a08190b6f96373aa8c1346 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96bd3848190a66ca14dfbd26da5 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea7d03a88190aab72e61d8673488 |
completed | Feb. 28, 2026, 1:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.