Triple
T19425819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American picturesque movement |
E485976
|
entity |
| Predicate | typicalLandscapeType |
P1479
|
FINISHED |
| Object | informal 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: informal garden | Statement: [American picturesque movement, typicalLandscapeType, informal garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLandscapeType Context triple: [American picturesque movement, typicalLandscapeType, informal garden]
-
A.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
B.
landscapeStyle
chosen
Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
-
C.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
D.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
-
E.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63218772c8190a48b6cb01bd12b73 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.