Triple
T10383812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikochi |
E244707
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Mount Yake |
E849718
|
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 Yake | Statement: [Kamikochi, hasViewOf, Mount Yake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Yake Context triple: [Kamikochi, hasViewOf, Mount Yake]
-
A.
Mount Yake
chosen
Mount Yake is an active stratovolcano in Japan’s Northern Alps, known for its rugged hiking routes and scenic volcanic landscape.
-
B.
Mount Ohiri
Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
-
C.
Mount Hōken
Mount Hōken is a prominent peak in Japan’s Central Alps, known for its rugged granite terrain, alpine scenery, and popular hiking and climbing routes.
-
D.
Mount Yōtei
Mount Yōtei is a prominent, nearly symmetrical stratovolcano in Hokkaido, Japan, often called "Ezo Fuji" for its resemblance to Mount Fuji and popular for hiking and scenic views.
-
E.
Mount Tsurumi
Mount Tsurumi is a volcanic mountain in Ōita Prefecture, Japan, known for its panoramic views, seasonal foliage, and ropeway access from the hot spring resort city of Beppu.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c7b89a808190af9b2d4f37ad9012 |
completed | April 18, 2026, 6:04 p.m. |
Created at: April 6, 2026, 12:04 p.m.