Triple
T13348014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chubu tourism area |
E318005
|
entity |
| Predicate | hasFamousSite |
P1098
|
FINISHED |
| Object | Hakuba |
E248799
|
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: Hakuba | Statement: [Chubu tourism area, hasFamousSite, Hakuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakuba Context triple: [Chubu tourism area, hasFamousSite, Hakuba]
-
A.
Hakuba Valley
chosen
Hakuba Valley is a renowned Japanese ski and outdoor recreation area in the Northern Alps, famous for its world-class winter sports, scenic mountain landscapes, and role as a host venue during the 1998 Nagano Winter Olympics.
-
B.
Yuzawa
Yuzawa is a Japanese city best known for its hot springs and ski resorts, making it a popular winter tourism destination.
-
C.
Kamikochi
Kamikochi is a scenic highland valley in Japan’s Northern Alps renowned for its pristine river, mountain views, and popular hiking trails.
-
D.
Niseko
Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
-
E.
Hakone
Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74615b0f08190a8eb8d8a87cb7053 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:31 p.m.