Triple
T32447497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non Hoi Park (Toyohashi Zoo and Botanical Park) |
E829186
|
entity |
| Predicate | botanicalGardenType |
P130661
|
FINISHED |
| Object | public botanical garden |
—
|
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: public botanical garden | Statement: [Non Hoi Park (Toyohashi Zoo and Botanical Park), botanicalGardenType, public botanical garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: botanicalGardenType Context triple: [Non Hoi Park (Toyohashi Zoo and Botanical Park), botanicalGardenType, public botanical garden]
-
A.
botanicalFacility
chosen
Indicates that one entity is a facility dedicated to the cultivation, display, or study of plants in relation to another entity.
-
B.
hasBotanicalGarden
Indicates that one entity possesses, contains, or includes a botanical garden as part of its facilities or domain.
-
C.
hasBotanicalGardenArea_ha
Indicates that an entity possesses a botanical garden whose area is measured in hectares.
-
D.
isBotanical
Indicates that something pertains to plants or plant science, such as being derived from, related to, or characteristic of botanical life or botany.
-
E.
botanicalGardenAdded
Indicates that a botanical garden has been established, incorporated, or newly recorded in relation to a specific place, organization, or dataset.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e767bc8190b49fd0c4a557b464 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:56 a.m.