Triple
T6071832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setonaikai National Park |
E135299
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shodoshima |
E498853
|
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: Shodoshima | Statement: [Setonaikai National Park, contains, Shodoshima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shodoshima Context triple: [Setonaikai National Park, contains, Shodoshima]
-
A.
Shodoshima
chosen
Shodoshima is a scenic Japanese island in the Seto Inland Sea known for its olive cultivation, Mediterranean-like climate, and dramatic coastal landscapes.
-
B.
Innoshima
Innoshima is a small island in Japan’s Seto Inland Sea, known for its scenic coastal views and its role as a key link along the Shimanami Kaido cycling route.
-
C.
Tokunoshima
Tokunoshima is a subtropical Japanese island in Kagoshima Prefecture known for its unique biodiversity, traditional culture, and role as part of the Amami archipelago.
-
D.
Shikanoshima
Shikanoshima is a small island in Japan known for its scenic coastal landscapes, historical sites, and proximity to the city of Fukuoka.
-
E.
Etajima Island
Etajima Island is a Japanese island in Hiroshima Prefecture best known as the historic site of the former Imperial Japanese Naval Academy.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537678fc8190aa0f2f198c1d8385 |
completed | March 27, 2026, 9:52 a.m. |
Created at: March 22, 2026, 4:11 p.m.