Triple
T7416353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaga Onsen |
E171139
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Yamanaka Onsen |
E171139
|
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: Yamanaka Onsen | Statement: [Kaga Onsen, hasPart, Yamanaka Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamanaka Onsen Context triple: [Kaga Onsen, hasPart, Yamanaka Onsen]
-
A.
Takegawara Onsen
Takegawara Onsen is a historic public hot spring bathhouse in Beppu, Japan, famed for its traditional architecture and sand baths.
-
B.
Hyotan Onsen
Hyotan Onsen is a well-known traditional hot spring bathhouse in Beppu, Japan, famous for its variety of baths, sand baths, and authentic onsen experience.
-
C.
Naruko Onsen
Naruko Onsen is a historic hot spring resort area in northern Japan renowned for its numerous therapeutic baths, scenic mountain setting, and traditional kokeshi doll craftsmanship.
-
D.
Jōzankei Onsen
Jōzankei Onsen is a famous hot spring resort area in Sapporo, Hokkaido, known for its natural thermal baths and scenic valley setting.
-
E.
Kaga Onsen
chosen
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.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82779a1d8819098f136291fa42433 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.