Triple
T23076771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwanzan cherry |
E575352
|
entity |
| Predicate | leafColorFall |
P10587
|
FINISHED |
| Object | yellow to bronze |
—
|
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: yellow to bronze | Statement: [Kwanzan cherry, leafColorFall, yellow to bronze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafColorFall Context triple: [Kwanzan cherry, leafColorFall, yellow to bronze]
-
A.
foliageSeasonalColor
chosen
Indicates the characteristic color that a plant’s foliage takes on during a particular season.
-
B.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
C.
autumnFlushCharacteristics
Indicates the specific traits or behaviors associated with an entity’s autumn growth or activity phase.
-
D.
foliageCharacteristic
Indicates the specific traits or qualities of an entity’s foliage, such as its type, texture, color, or other distinguishing features.
-
E.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c63870c81909a08a3b410c0d417 |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:56 p.m.