Triple
T9248568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Basin |
E222258
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object | 京都盆地 |
E222258
|
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: 京都盆地 | Statement: [Kyoto Basin, hasNameInJapanese, 京都盆地]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京都盆地 Context triple: [Kyoto Basin, hasNameInJapanese, 京都盆地]
-
A.
松本盆地
松本盆地は、長野県中部に位置し、松本市を中心とする内陸の盆地地形で、周囲を北アルプスなどの山々に囲まれた地域です。
-
B.
濃尾平野
濃尾平野は、愛知・岐阜・三重にまたがる木曽三川流域に広がる日本有数の大平野で、名古屋市を中心とする中京工業地帯や濃尾大地震などで知られる地域である。
-
C.
Kyoto Basin
chosen
The Kyoto Basin is a low-lying inland plain in central Honshu, Japan, that forms the geographic setting for the city of Kyoto and surrounding urban and agricultural areas.
-
D.
丹波市
丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
-
E.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077fed7888190a5d36bc2ee4c2bd2 |
completed | April 4, 2026, 2:31 a.m. |
Created at: March 30, 2026, 7:31 p.m.