Triple
T17828769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikawa Subprefecture |
E445192
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Furano area |
—
|
NE NERFINISHED |
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: Furano area | Statement: [Kamikawa Subprefecture, knownFor, Furano area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furano area Context triple: [Kamikawa Subprefecture, knownFor, Furano area]
-
A.
Furano
Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
-
B.
Furano, Hokkaido, Japan
chosen
Furano, in Hokkaido, Japan, is a scenic town famed for its lavender fields, rural landscapes, and popular winter sports facilities.
-
C.
Noboribetsu area
The Noboribetsu area is a well-known region in Hokkaido, Japan, famed for its hot springs, volcanic landscapes, and popular onsen resort town.
-
D.
Furano–Biei Norokko
Furano–Biei Norokko is a seasonal sightseeing train in Hokkaido, Japan, known for its slow-paced rides through scenic flower fields and rural landscapes between Furano and Biei.
-
E.
Furano-dake area
The Furano-dake area is a mountainous region in central Hokkaido, Japan, known for its volcanic landscapes, alpine flora, and hiking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.