Triple
T32197898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacaranda mimosifolia |
E822447
|
entity |
| Predicate | flowerColorOfCultivar |
P4578
|
FINISHED |
| Object | 'Alba' has white 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: 'Alba' has white flowers | Statement: [Jacaranda mimosifolia, flowerColorOfCultivar, 'Alba' has white flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerColorOfCultivar Context triple: [Jacaranda mimosifolia, flowerColorOfCultivar, 'Alba' has white flowers]
-
A.
hasFlowerColor
chosen
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
B.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
C.
cultivarName
Indicates that a specific cultivated variety (cultivar) is designated by a particular name.
-
D.
flowerCharacteristic
Indicates that a flower possesses a particular attribute, quality, or feature (such as color, shape, size, or scent).
-
E.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:36 a.m.