Triple
T19948414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōin Garden reconstruction |
E479489
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | historical landscape reconstruction |
C8110
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: historical landscape reconstruction Context triple: [Tōin Garden reconstruction, instanceOf, historical landscape reconstruction]
-
A.
prehistoric landscape
A prehistoric landscape is an ancient natural environment characterized by untamed geology, primitive vegetation, and the presence or traces of early life forms before recorded human history.
-
B.
rural historic landscape
A rural historic landscape is a geographically defined area of countryside whose land use, features, and spatial organization reflect the historical patterns, activities, and cultural values of the people who shaped it over time.
-
C.
reconstructed historic site
chosen
A reconstructed historic site is a place where buildings, structures, or environments from the past have been rebuilt or significantly restored to approximate their original appearance and context for educational, commemorative, or touristic purposes.
-
D.
history of a region
A history of a region is a structured account of the social, political, economic, and cultural developments that have shaped a specific geographic area over time.
-
E.
historic spring
A historic spring is a naturally occurring water source that has played a significant role in past human activities, culture, or events, and is recognized for its historical importance.
- F. None of above.
Provenance (1 batch)
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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:54 p.m.