Triple
T14979604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asahidake Ropeway |
E373539
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Asahikawa |
—
|
NE NERFINISHED |
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: Asahikawa | Statement: [Asahidake Ropeway, nearestCity, Asahikawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asahikawa Context triple: [Asahidake Ropeway, nearestCity, Asahikawa]
-
A.
Asahikawa
chosen
Asahikawa is a major city in central Hokkaido, Japan, known for its cold winters, Asahiyama Zoo, and role as a regional commercial and transportation hub.
-
B.
Hachinohe
Hachinohe is a coastal city in northern Japan known for its fishing industry, port facilities, and vibrant local seafood markets.
-
C.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
D.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
E.
Kōriyama
Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
Created at: April 10, 2026, 2:51 a.m.