Triple
T13510318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ōminakami |
E321121
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Minakami, Gunma |
E555451
|
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: Minakami, Gunma | Statement: [Mount Ōminakami, municipality, Minakami, Gunma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minakami, Gunma Context triple: [Mount Ōminakami, municipality, Minakami, Gunma]
-
A.
Numata, Gunma
Numata, Gunma is a city in Gunma Prefecture, Japan, known for its mountainous scenery, hot springs, and proximity to natural attractions such as lakes and ski areas.
-
B.
Minakami
chosen
Minakami is a mountainous town in Gunma Prefecture, Japan, known for its hot springs, outdoor sports, and scenic natural landscapes.
-
C.
Hanamaki
Hanamaki is a city in northeastern Japan known for its hot springs, rural landscapes, and as the birthplace of writer Kenji Miyazawa.
-
D.
Kitakami, Iwate
Kitakami, Iwate is a city in Iwate Prefecture, Japan, known for its scenic Kitakami River, springtime cherry blossoms, and historical cultural sites.
-
E.
Tokamachi, Niigata
Tokamachi, Niigata is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional Echigo-jofu textiles, and scenic rural landscapes.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.