Triple
T20919899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okawa |
E515177
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Chikugo region |
—
|
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: Chikugo region | Statement: [Okawa, partOf, Chikugo region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chikugo region Context triple: [Okawa, partOf, Chikugo region]
-
A.
Chikugo region
chosen
The Chikugo region is a historical and geographical area in southern Fukuoka Prefecture, Japan, known for its agricultural production, riverside plains, and traditional industries.
-
B.
Kōga region
The Kōga region is a historic area in Japan famed as one of the principal centers of ninja (shinobi) activity alongside Iga.
-
C.
Chikuho region
The Chikuho region is a former coal-mining area in central Fukuoka Prefecture, Japan, known for its industrial history and working-class culture.
-
D.
Tajima region
The Tajima region is a northern area of Hyōgo Prefecture in Japan, known for its rural landscapes, hot springs, and the origin of the famed Tajima-gyu cattle used for Kobe beef.
-
E.
Chichibu region
The Chichibu region is a mountainous area in western Saitama Prefecture, Japan, known for its scenic landscapes, historic shrines, and seasonal flower and foliage attractions.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.