Triple
T21786971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongō mountain range |
E537863
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Yamato Katsuragi |
—
|
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 Yamato Katsuragi | Statement: [Kongō mountain range, contains, Mount Yamato Katsuragi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Yamato Katsuragi Context triple: [Kongō mountain range, contains, Mount Yamato Katsuragi]
-
A.
Mount Katsuragi
chosen
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.
-
B.
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.
-
C.
Mount Furutaka
Mount Furutaka is a mountain in Japan notable enough to have lent its name to the Imperial Japanese Navy cruiser Furutaka.
-
D.
Mount Shiomi
Mount Shiomi is a prominent peak in Japan’s Southern Alps, known for its alpine scenery and challenging hiking routes.
-
E.
Mount Sankaku
Mount Sankaku is a small, popular hiking and viewpoint mountain located in Nishi-ku, Sapporo, Japan.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621c68588190977891055e80a499 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.