Triple
T54908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Japanese Garden |
E1082
|
entity |
| Predicate | hasPlantCollection |
P426
|
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: [Portland Japanese Garden, hasPlantCollection, Japanese maples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlantCollection Context triple: [Portland Japanese Garden, hasPlantCollection, Japanese maples]
-
A.
hasCollection
chosen
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasSoil
Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
-
C.
plantHeight
Indicates the measured vertical size or growth extent of a plant from its base to its top.
-
D.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
E.
hasNumberOfHouses
Indicates the quantity of houses associated with a given entity.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b3a9e848190b80de3c858678b3a |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ac52fb08190aa7c38f83434f795 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.