Triple
T13510317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ōminakami |
E321121
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Minakami |
—
|
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: Minakami | Statement: [Mount Ōminakami, near, Minakami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minakami Context triple: [Mount Ōminakami, near, Minakami]
-
A.
Minakami
chosen
Minakami is a mountainous town in Gunma Prefecture, Japan, known for its hot springs, outdoor sports, and scenic natural landscapes.
-
B.
Minamitane
Minamitane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for hosting Japan’s main spaceport facilities nearby.
-
C.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
D.
Minokamo
Minokamo is a city in Gifu Prefecture, Japan, known as a regional hub that blends industrial activity with agricultural areas along the Kiso River.
-
E.
Minamiizu
Minamiizu is a coastal town at the southern tip of Japan’s Izu Peninsula, known for its scenic beaches, hot springs, and rugged seaside landscapes.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:43 p.m.