Triple
T14446775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 100 Famous Japanese Mountains |
E358227
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mount Norikura-dake |
E318948
|
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 Norikura-dake | Statement: [100 Famous Japanese Mountains, hasPart, Mount Norikura-dake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Norikura-dake Context triple: [100 Famous Japanese Mountains, hasPart, Mount Norikura-dake]
-
A.
Mount Norikura
chosen
Mount Norikura is a large stratovolcano in Japan’s Northern Alps, known for its high elevation, scenic alpine landscapes, and popularity as a hiking and skiing destination.
-
B.
Mount Kinugasa
Mount Kinugasa is a Japanese mountain whose name was notably given to the Imperial Japanese Navy cruiser Kinugasa.
-
C.
Hotaka-dake
Hotaka-dake is one of the highest and most prominent peaks in Japan’s Northern Alps, renowned for its rugged terrain and popular mountaineering routes.
-
D.
Mount Nikko-Shirane
Mount Nikko-Shirane is a prominent volcanic peak in Japan known as the highest mountain in the Kanto region and a popular destination for hiking and alpine scenery.
-
E.
Mount Okura
Mount Okura is a hill in Sapporo, Japan, best known for its large ski jumping stadium and panoramic views over the city.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78ad38481908df2338aaf276da9 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 1:19 a.m.