Triple
T15582903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan National Park |
E374542
|
entity |
| Predicate | hasSettlementNearby |
P7611
|
FINISHED |
| Object | Akan Onsen |
E381298
|
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: Akan Onsen | Statement: [Akan National Park, hasSettlementNearby, Akan Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akan Onsen Context triple: [Akan National Park, hasSettlementNearby, Akan Onsen]
-
A.
Akan Onsen
chosen
Akan Onsen is a hot spring resort area in eastern Hokkaido, Japan, known for its lakeside setting, traditional ryokan inns, and access to volcanic landscapes within Akan-Mashu National Park.
-
B.
Ako Onsen
Ako Onsen is a coastal hot spring resort area in Ako, Hyōgo Prefecture, Japan, known for its seaside baths and views of the Seto Inland Sea.
-
C.
Kaga Onsen
Kaga Onsen is a renowned hot spring resort area in Ishikawa Prefecture, Japan, famous for its historic ryokan inns, traditional culture, and scenic natural surroundings.
-
D.
Zao Onsen
Zao Onsen is a historic hot spring resort in Japan renowned for its sulfurous baths, ski slopes, and scenic mountain landscapes.
-
E.
Hoheikyo Onsen
Hoheikyo Onsen is a popular hot spring resort near Sapporo known for its large open-air baths set amid natural scenery and its Indian-style curry.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e45ee3c8190a6aee06a5805ca39 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f33310881908dd509c2ab2822ac |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:11 a.m.