Triple
T13029846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakushōkaku |
E326403
|
entity |
| Predicate | hasGardenRelation |
P107532
|
FINISHED |
| Object | integral part of Sankeien landscape design |
—
|
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: integral part of Sankeien landscape design | Statement: [Kakushōkaku, hasGardenRelation, integral part of Sankeien landscape design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGardenRelation Context triple: [Kakushōkaku, hasGardenRelation, integral part of Sankeien landscape design]
-
A.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
B.
hasGardenType
Indicates that an entity possesses or is associated with a garden of a specified type.
-
C.
hasGardenElement
Indicates that something includes, contains, or is associated with a specific element or feature within a garden.
-
D.
hasGardenSquare
Indicates that an entity includes, is adjacent to, or is otherwise associated with a garden square.
-
E.
gardenManagedBy
Indicates that a garden is overseen, maintained, or administered by a particular person, group, or organization.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efd18308190877b3269403b36e2 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:54 p.m.