Triple
T13340895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden of Cultivation |
E317819
|
entity |
| Predicate | landscapePrinciple |
P80560
|
FINISHED |
| Object | borrowed scenery |
—
|
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: borrowed scenery | Statement: [Garden of Cultivation, landscapePrinciple, borrowed scenery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landscapePrinciple Context triple: [Garden of Cultivation, landscapePrinciple, borrowed scenery]
-
A.
landscapeConcept
chosen
Indicates a conceptual or thematic relationship involving landscapes, such as ideas, interpretations, or abstract representations of landscape.
-
B.
landscapeRole
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
-
C.
landscapeImpact
Indicates how an action, project, or entity alters or affects the visual and physical character of a landscape.
-
D.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
landscapeStyle
Indicates the design style or aesthetic approach applied to a landscape or outdoor 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d0379d481909a50fff31b19fed1 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.