Triple
T12210934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 播磨灘 |
E290954
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | 淡路島 |
E897886
|
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: 淡路島 | Statement: [播磨灘, borderedBy, 淡路島]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 淡路島 Context triple: [播磨灘, borderedBy, 淡路島]
-
A.
久場島
久場島（くばじま）は、沖縄県うるま市の沖合に位置し、米軍射爆撃場として使用されている無人島です。
-
B.
松輪島
松輪島（マトゥア島）は、千島列島中部に位置し、第二次世界大戦期には日本軍の重要な軍事拠点として利用された火山島です。
-
C.
Higashi-Awaji
chosen
Higashi-Awaji was a former municipality in Japan that later became part of the city of Awaji through a merger.
-
D.
Naoshima Island
Naoshima Island is a small island in Japan’s Seto Inland Sea renowned for its contemporary art museums, outdoor installations, and architecture integrated with the natural landscape.
-
E.
Sakishima Islands (Osaka)
Sakishima Islands (Osaka) is a group of large artificial islands in Osaka Bay known for hosting major commercial, residential, and exhibition facilities such as the Osaka Prefectural Government Sakishima Building and INTEX Osaka.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5666f48190a28eed761e7b9210 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.