Triple
T28879127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊良部大橋 |
E732362
|
entity |
| Predicate | 景観上の評価 |
P6652
|
FINISHED |
| Object | 宮古島周辺を代表する景観スポットの一つとされる |
—
|
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: 宮古島周辺を代表する景観スポットの一つとされる | Statement: [伊良部大橋, 景観上の評価, 宮古島周辺を代表する景観スポットの一つとされる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 景観上の評価 Context triple: [伊良部大橋, 景観上の評価, 宮古島周辺を代表する景観スポットの一つとされる]
-
A.
scenicGrade
Indicates the degree to which something is visually attractive or picturesque, often in terms of natural or landscape beauty.
-
B.
landscapeValue
Indicates the assessed aesthetic, cultural, or ecological worth attributed to a particular landscape or scenery.
-
C.
hasScenicValue
chosen
Indicates that something possesses notable aesthetic or visual appeal, often due to its natural beauty or pleasing surroundings.
-
D.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
E.
都市景観への影響
Indicates the effect or impact that something has on the appearance, structure, or overall quality of the urban landscape.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a4d874c819094de2d585e1f5816 |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:41 a.m.