Triple
T15764075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toya caldera |
E382173
|
entity |
| Predicate | lakeName |
P1778
|
FINISHED |
| Object | Lake Tōya |
E388623
|
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: Lake Tōya | Statement: [Toya caldera, lakeName, Lake Tōya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Tōya Context triple: [Toya caldera, lakeName, Lake Tōya]
-
A.
Lake Tōya
chosen
Lake Tōya is a nearly circular caldera lake in Hokkaido, Japan, renowned for its clear waters, scenic volcanic surroundings, and hot spring resorts.
-
B.
Lake Shoji
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
C.
Lake Haruna
Lake Haruna is a scenic crater lake in Gunma Prefecture, Japan, known for its tranquil waters, surrounding volcanic landscapes, and popularity as a recreational and tourist destination.
-
D.
Lake Towada
Lake Towada is a large, scenic caldera lake on the border of Aomori and Akita Prefectures in northern Japan, renowned for its clear waters, autumn foliage, and surrounding national park landscapes.
-
E.
Lake Tazawa
Lake Tazawa is a deep, scenic caldera lake in northern Japan renowned for its clear blue waters and surrounding hot spring resorts.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067948b308190a434cdf1d45ebef4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 4:47 a.m.