Triple
T3437865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimanami Kaido |
E72497
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Oshima |
E445737
|
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: Oshima | Statement: [Shimanami Kaido, passesThrough, Oshima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshima Context triple: [Shimanami Kaido, passesThrough, Oshima]
-
A.
Ōshima
chosen
Ōshima is a Japanese island region in Kagoshima Prefecture, known for its subtropical climate, distinct local culture, and role as a key administrative and geographic area within the Amami Islands.
-
B.
Kirishima
Kirishima is a city in Kagoshima Prefecture, Japan, known for its volcanic mountain range, hot springs, and role in Japanese mythology.
-
C.
Hahajima
Hahajima is a remote, subtropical island in Japan’s Ogasawara (Bonin) archipelago, known for its rugged terrain, rich endemic biodiversity, and relative isolation.
-
D.
Mukōjima
Mukōjima is a neighborhood in Tokyo’s Sumida ward known for its traditional atmosphere, historic geisha district, and riverside cherry blossom viewing along the Sumida River.
-
E.
Rokkō Island
Rokkō Island is a large man-made island in Kobe, Japan, known for its residential areas, commercial facilities, and port-related infrastructure in Osaka Bay.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f575cc8190866929b1e8930143 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8195518081908f4938032218e118 |
completed | March 21, 2026, 11:31 a.m. |
Created at: March 8, 2026, 3:16 p.m.