Triple
T36455039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 本栖湖 |
E898127
|
entity |
| Predicate | 有名な景観 |
P90521
|
FINISHED |
| Object | 千円紙幣の富士山のモデルとなった景観 |
—
|
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: 千円紙幣の富士山のモデルとなった景観 | Statement: [本栖湖, 有名な景観, 千円紙幣の富士山のモデルとなった景観]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 有名な景観 Context triple: [本栖湖, 有名な景観, 千円紙幣の富士山のモデルとなった景観]
-
A.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
B.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
C.
naturalAttractionOf
Indicates a relationship where one entity is a natural feature or site that draws interest, attention, or visitors from another entity.
-
D.
scenicCategory
Indicates the classification of a place or route based on its visual appeal or scenic qualities.
-
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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.