Triple
T22785916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Trudeau Memorial Rose |
E563964
|
entity |
| Predicate | cultivarStatus |
P149713
|
FINISHED |
| Object | ornamental |
—
|
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: ornamental | Statement: [Michel Trudeau Memorial Rose, cultivarStatus, ornamental]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivarStatus Context triple: [Michel Trudeau Memorial Rose, cultivarStatus, ornamental]
-
A.
cultivationStatus
Indicates the current state or condition of an entity with respect to being cultivated, such as whether and how it is actively grown or managed.
-
B.
hasCultivar
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
-
C.
cultivarCount
Indicates the number of distinct cultivars associated with a given entity or context.
-
D.
cultivarName
Indicates that a specific cultivated variety (cultivar) is designated by a particular name.
-
E.
cultivarOrigin
Indicates that a particular plant cultivar was originally developed, bred, or derived from a specified source location, population, or lineage.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c321f848190a4443aa6bb4e57d7 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:29 p.m.