Triple
T11081487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Sai |
E262003
|
entity |
| Predicate | viewpointOf |
P17987
|
FINISHED |
| Object | Mount Fuji |
E51069
|
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 Fuji | Statement: [Lake Sai, viewpointOf, Mount Fuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Fuji Context triple: [Lake Sai, viewpointOf, Mount Fuji]
-
A.
Mount Fuji
chosen
Mount Fuji is Japan’s iconic, snow-capped stratovolcano and highest peak, renowned for its nearly symmetrical cone and cultural significance.
-
B.
Mount Hakone
Mount Hakone is an active volcanic complex in Japan’s Kanagawa Prefecture, famous for its hot springs, scenic crater lake, and views of nearby Mount Fuji.
-
C.
Mount Yamashiro
Mount Yamashiro is a Japanese mountain whose name was historically significant enough to be used for the Imperial Japanese Navy battleship Yamashiro.
-
D.
槍ヶ岳
槍ヶ岳 is a sharply pointed, spear-shaped peak in Japan’s Hida Mountains, renowned as one of the most iconic and challenging summits in the Northern Alps.
-
E.
Mount Hakusan
Mount Hakusan is one of Japan’s “Three Holy Mountains,” a prominent volcanic peak revered in Shinto and Buddhist traditions for its spiritual significance and natural beauty.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4578899ac81908b6e3c8948ca6628 |
completed | May 1, 2026, 7:34 a.m. |
Created at: April 8, 2026, 9:27 p.m.