Triple
T442953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosaceae |
E10152
|
entity |
| Predicate | includesOrnamentalPlant |
P13243
|
FINISHED |
| Object | garden rose |
—
|
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: garden rose | Statement: [Rosaceae, includesOrnamentalPlant, garden rose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOrnamentalPlant Context triple: [Rosaceae, includesOrnamentalPlant, garden rose]
-
A.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
B.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
C.
hasPlantSymbol
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
D.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
E.
plantingStyle
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef43e8f88190a5d368add11a38c0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.