Triple
T19430109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parterre Garden |
E486087
|
entity |
| Predicate | typicalPlanting |
P9738
|
FINISHED |
| Object | seasonal 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: seasonal flowers | Statement: [Parterre Garden, typicalPlanting, seasonal flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlanting Context triple: [Parterre Garden, typicalPlanting, seasonal flowers]
-
A.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
B.
plantingStyle
chosen
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
-
C.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
D.
treePlanting
Indicates the action of placing and establishing a tree in the ground at a chosen location.
-
E.
plantedAt
Indicates that one entity has been planted or placed into the ground or a specific location at or in association with another entity.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321c774881908ba5bde20abd5adc |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.