Triple
T21791786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Dixter garden |
E537987
|
entity |
| Predicate | notablePlantingStyle |
P9738
|
FINISHED |
| Object | high-density planting |
—
|
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: high-density planting | Statement: [Great Dixter garden, notablePlantingStyle, high-density planting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlantingStyle Context triple: [Great Dixter garden, notablePlantingStyle, high-density planting]
-
A.
plantingStyle
chosen
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
-
B.
gardensStyle
Indicates the stylistic design or aesthetic tradition according to which a garden is created or arranged.
-
C.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
D.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
E.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06220bbe0819091cf3b41aa788cc3 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.