Triple
T17143920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tsurumi |
E416039
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Beppu Onsen |
E1229841
|
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: Beppu Onsen | Statement: [Mount Tsurumi, near, Beppu Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beppu Onsen Context triple: [Mount Tsurumi, near, Beppu Onsen]
-
A.
Beppu Onsen
chosen
Beppu Onsen is one of Japan’s most famous hot spring resort areas, renowned for its numerous baths, steaming “hell” springs, and long-standing onsen culture.
-
B.
Ureshino Onsen
Ureshino Onsen is a historic hot spring resort town in Saga Prefecture, Japan, famed for its silky, skin-beautifying waters and nearby Ureshino tea.
-
C.
Kirishima Onsen
Kirishima Onsen is a renowned hot spring resort area in Japan’s Kirishima region, famous for its volcanic scenery, therapeutic baths, and traditional ryokan inns.
-
D.
Nyuto Onsen
Nyuto Onsen is a remote hot spring village in Japan famed for its rustic, traditional ryokan inns and milky, mineral-rich baths nestled in the mountains of Akita Prefecture.
-
E.
Noboribetsu Onsen
Noboribetsu Onsen is one of Japan’s most famous hot spring resort towns, renowned for its volcanic “Hell Valley” landscapes and diverse mineral-rich baths.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d8ca8c81909bba0cd6d60a4776 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c36b32c8190a365b7b80207978c |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:36 a.m.