Triple
T14979558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sounkyo Onsen |
E373538
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Daisetsu |
E1239689
|
NE 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: Mount Daisetsu | Statement: [Sounkyo Onsen, near, Mount Daisetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Daisetsu Context triple: [Sounkyo Onsen, near, Mount Daisetsu]
-
A.
Mount Naka Daisetsu
chosen
Mount Naka Daisetsu is a volcanic peak located within Japan’s Daisetsuzan mountain range on the island of Hokkaido.
-
B.
Mount Kusatsu-Shirane
Mount Kusatsu-Shirane is an active stratovolcano in central Honshu, Japan, known for its acidic crater lakes and popular nearby hot spring resort of Kusatsu Onsen.
-
C.
Mount Rishiri
Mount Rishiri is a volcanic peak on Rishiri Island in Hokkaido, Japan, renowned for its conical shape, alpine flora, and scenic views over the Sea of Japan.
-
D.
Mount Tateshina
Mount Tateshina is a prominent volcanic peak in Japan’s Yatsugatake Mountains, known for its conical shape and popular hiking routes.
-
E.
Mount Yatsugatake
Mount Yatsugatake is a prominent volcanic mountain range in central Honshu, Japan, known for its rugged peaks, alpine scenery, and popularity among hikers and climbers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf2567c81909ab6054ade27afac |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 2:51 a.m.