Triple
T3189081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishima |
E66773
|
entity |
| Predicate | isKnownFor |
P22
|
FINISHED |
| Object | views of Mount Fuji |
E255274
|
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: views of Mount Fuji | Statement: [Mishima, isKnownFor, views of Mount Fuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: views of Mount Fuji Context triple: [Mishima, isKnownFor, views of Mount Fuji]
-
A.
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.
-
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.
Hakone
chosen
Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
-
D.
Mount Yamashiro
Mount Yamashiro is a Japanese mountain whose name was historically significant enough to be used for the Imperial Japanese Navy battleship Yamashiro.
-
E.
Mount Ōminakami
Mount Ōminakami is a mountain in Japan known primarily as the headwaters area of the Tone River, one of the country’s major river systems.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b9a9bc88190b7090bda8fe6260c |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:06 p.m.