Triple
T28061493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kairakuen Park |
E709120
|
entity |
| Predicate | gardeningStyle |
P54626
|
FINISHED |
| Object | Japanese strolling garden style |
—
|
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: Japanese strolling garden style | Statement: [Kairakuen Park, gardeningStyle, Japanese strolling garden style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gardeningStyle Context triple: [Kairakuen Park, gardeningStyle, Japanese strolling garden style]
-
A.
gardensStyle
chosen
Indicates the stylistic design or aesthetic tradition according to which a garden is created or arranged.
-
B.
plantingStyle
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
-
C.
gardeningSpecialty
Indicates that an entity has a particular area of expertise or focus within the broader practice of gardening.
-
D.
gardenFeature
Indicates that one entity serves as a feature, element, or component within a garden associated with another entity.
-
E.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f640174f388190b2c018b39d8aeeac |
completed | May 2, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f637120c008190b2b5adf46f022e48 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:40 p.m.