Triple
T19473739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujikawa River system |
E487188
|
entity |
| Predicate | hasScenicSite |
P90521
|
FINISHED |
| Object | river valleys in Shizuoka Prefecture |
—
|
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: river valleys in Shizuoka Prefecture | Statement: [Fujikawa River system, hasScenicSite, river valleys in Shizuoka Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScenicSite Context triple: [Fujikawa River system, hasScenicSite, river valleys in Shizuoka Prefecture]
-
A.
hasScenicValue
Indicates that something possesses notable aesthetic or visual appeal, often due to its natural beauty or pleasing surroundings.
-
B.
hasScenicPassNearby
Indicates that a location is situated close to a notable scenic pass, such as a mountain or landscape viewpoint route.
-
C.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
-
D.
isScenicArea
Indicates that a location is recognized as a scenic area, typically valued for its natural beauty or visually appealing surroundings.
-
E.
hasFamousScenicArea
chosen
Indicates that an entity possesses or is associated with a well-known and notable scenic area.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633ef69508190b0d71ef663ba8977 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.