Triple
T29627900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Jump Up |
E755194
|
entity |
| Predicate | flowerColorPattern |
P4278
|
FINISHED |
| Object | tricolored 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: tricolored petals | Statement: [Johnny Jump Up, flowerColorPattern, tricolored petals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerColorPattern Context triple: [Johnny Jump Up, flowerColorPattern, tricolored petals]
-
A.
floweringPattern
Indicates how and when a plant produces flowers, such as the timing, frequency, and arrangement of its blooming.
-
B.
petalMarkings
chosen
Indicates the pattern, color, or distinctive markings present on the petals of a flower in relation to the flower they belong to.
-
C.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
D.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
E.
flowerSymmetry
Indicates the type or pattern of symmetry exhibited by a flower’s structure or arrangement of its parts.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e61866881908f1497a7ceb782bc |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:39 p.m.