Triple
T35443302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Garden in the Montreal Botanical Garden |
E1024410
|
entity |
| Predicate | notablePlantType |
P966
|
FINISHED |
| Object | Japanese maples |
—
|
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 maples | Statement: [Japanese Garden in the Montreal Botanical Garden, notablePlantType, Japanese maples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlantType Context triple: [Japanese Garden in the Montreal Botanical Garden, notablePlantType, Japanese maples]
-
A.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
B.
notableTreeSpecies
chosen
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
C.
famousPlants
Indicates that the plants in question are widely known or celebrated, typically for their distinctive characteristics, history, or cultural significance.
-
D.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
E.
plantProduces
Indicates that a plant generates, creates, or yields a particular substance, structure, or product as a result of its biological processes.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.