Triple
T10945217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarushima |
E258577
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 猿島 |
E258577
|
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: 猿島 | Statement: [Sarushima, hasJapaneseName, 猿島]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 猿島 Context triple: [Sarushima, hasJapaneseName, 猿島]
-
A.
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。
-
B.
南小島
南小島 is a small, uninhabited islet in the disputed Senkaku/Diaoyu Islands chain in the East China Sea, administered by Japan.
-
C.
友ヶ島
友ヶ島 is a group of small, historically fortified islands in Wakayama Prefecture, Japan, known for their abandoned military ruins and scenic coastal landscapes.
-
D.
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.
-
E.
Sarushima
chosen
Sarushima is a small, uninhabited island in Tokyo Bay known for its beaches, fishing spots, and preserved military fortifications, making it a popular day-trip destination.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770e9a89081908979efd1d9e6af66 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c3c885081908edcece772b2e759 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.