Triple
T37599433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryūzu Falls |
E935481
|
entity |
| Predicate | hasSpringFeature |
P182
|
FINISHED |
| Object | new green foliage |
—
|
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: new green foliage | Statement: [Ryūzu Falls, hasSpringFeature, new green foliage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpringFeature Context triple: [Ryūzu Falls, hasSpringFeature, new green foliage]
-
A.
hasSpring
Indicates that an entity possesses or contains a spring, typically as a mechanical or structural component.
-
B.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
C.
hasNotableSpring
Indicates that an entity possesses or is associated with a spring (e.g., water source or season) that is considered notable or significant.
-
D.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
-
E.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
Created at: May 3, 2026, 4:18 p.m.