Triple
T19825499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Mountains of Jōmō |
E476313
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mount Akagi |
—
|
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: Mount Akagi | Statement: [Three Mountains of Jōmō, hasPart, Mount Akagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Akagi Context triple: [Three Mountains of Jōmō, hasPart, Mount Akagi]
-
A.
Mount Akagi
chosen
Mount Akagi is a prominent volcanic mountain in Japan’s Gunma Prefecture, known for its caldera lakes, scenic hiking trails, and cultural significance in local folklore.
-
B.
Mount Furutaka
Mount Furutaka is a mountain in Japan notable enough to have lent its name to the Imperial Japanese Navy cruiser Furutaka.
-
C.
Mount Karamatsu
Mount Karamatsu is a popular peak in Japan’s Northern Alps, known for its scenic hiking routes, alpine views, and access via the Hakuba ski resort area.
-
D.
Mount Katsuragi
Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
-
E.
Mount Akaishi
Mount Akaishi is one of Japan’s major high peaks, known for its rugged alpine terrain and scenic vistas within the country’s central mountain ranges.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656c9e7348190a569a40bd1fca6ba |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.