Triple
T4336609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanto Mountains |
E97476
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nikko Mountains |
E253811
|
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: Nikko Mountains | Statement: [Kanto Mountains, near, Nikko Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikko Mountains Context triple: [Kanto Mountains, near, Nikko Mountains]
-
A.
Nikko
chosen
Nikko is a historic Japanese city in Tochigi Prefecture renowned for its ornate UNESCO-listed shrines, temples, and scenic mountainous landscapes.
-
B.
Mount Hiei
Mount Hiei is a historically significant mountain on the border of Kyoto and Shiga Prefectures in Japan, best known as the site of the Tendai Buddhist monastery Enryaku-ji and as a UNESCO World Heritage location.
-
C.
Rokkō Mountains
The Rokkō Mountains are a scenic mountain range in Japan’s Hyōgo Prefecture, known for overlooking the city of Kobe and offering popular hiking, hot springs, and panoramic viewpoints.
-
D.
Daisetsuzan
Daisetsuzan is a vast mountainous region in central Hokkaido, Japan, renowned for its volcanic peaks, alpine scenery, and rich wildlife.
-
E.
Mount Yoshino
Mount Yoshino is a famous mountain in Japan renowned for its thousands of cherry trees that attract large numbers of visitors during the spring blossom season.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0ace26881908cfc7950dc7a6cf8 |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.