Triple
T22267366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 高千穂町 |
E550384
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | 宮崎県 |
—
|
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: 宮崎県 | Statement: [高千穂町, locatedIn, 宮崎県]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 宮崎県 Context triple: [高千穂町, locatedIn, 宮崎県]
-
A.
佐賀県
佐賀県は、日本の九州地方に位置し、有明海や佐賀平野を擁する農業と陶磁器産業で知られる県です。
-
B.
Kagoshima Prefecture
Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
-
C.
Kumamoto Prefecture
Kumamoto Prefecture is a largely rural region on Japan’s Kyushu island, known for its active volcano Mount Aso, historic Kumamoto Castle, and rich agricultural production.
-
D.
Miyazaki Prefecture
chosen
Miyazaki Prefecture is a largely rural coastal prefecture on Japan’s southeastern Kyushu island, known for its subtropical climate, scenic beaches, and agricultural production.
-
E.
Ōita Prefecture
Ōita Prefecture is a coastal region on Japan’s Kyushu island known for its numerous hot spring resorts, particularly in Beppu and Yufuin.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bd0ea88190b3574883b695d56c |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.