Triple
T17451829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 覚満淵 |
E424930
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | 群馬県 |
—
|
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: 群馬県 | Statement: [覚満淵, locatedIn, 群馬県]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 群馬県 Context triple: [覚満淵, locatedIn, 群馬県]
-
A.
Gunma Prefecture
chosen
Gunma Prefecture is a landlocked region in central Japan known for its mountains, hot springs, and proximity to the Tokyo metropolitan area.
-
B.
Yamagata Prefecture
Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
-
C.
Saitama Prefecture
Saitama Prefecture is a landlocked administrative region in the Kantō area of Japan, just north of Tokyo, known for its large commuter population, industrial centers, and cultural sites.
-
D.
Yamanashi Prefecture
Yamanashi Prefecture is a landlocked region in central Honshu, Japan, known for Mount Fuji, fruit production (especially grapes and peaches), and its scenic mountains and hot springs.
-
E.
Tochigi Prefecture
Tochigi Prefecture is a landlocked region in Japan’s Kantō area known for the historic city of Nikkō, natural hot springs, and mountainous scenery.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513e57248190824b540865311f44 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.