Triple
T19743592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 対馬 |
E474193
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | 長崎県 |
—
|
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: 長崎県 | Statement: [対馬, locatedIn, 長崎県]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 長崎県 Context triple: [対馬, locatedIn, 長崎県]
-
A.
Kagoshima Prefecture
Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
-
B.
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。
-
C.
Nagasaki Prefecture
chosen
Nagasaki Prefecture is a coastal region in Japan’s Kyushu area, known for its historic international port city of Nagasaki and its role as the second city targeted by an atomic bomb in World War II.
-
D.
島根県
島根県は本州西部の日本海側に位置し、出雲大社などの古社や神話の舞台として知られる人口の少ない県です。
-
E.
Yamaguchi Prefecture
Yamaguchi Prefecture is a western Japanese prefecture on the island of Honshu, known for its strategic location facing both the Seto Inland Sea and the Sea of Japan, as well as its historical role in producing influential political leaders.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65162f0f88190b652fff01ee23090 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.