Triple
T6578233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krenitsyn Peak |
E157224
|
entity |
| Predicate | island |
P970
|
FINISHED |
| Object | Onekotan Island |
E668358
|
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: Onekotan Island | Statement: [Krenitsyn Peak, island, Onekotan Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onekotan Island Context triple: [Krenitsyn Peak, island, Onekotan Island]
-
A.
Onekotan Island
chosen
Onekotan Island is a remote volcanic island in Russia’s Kuril Islands chain, known for its dramatic caldera landscapes and rugged, uninhabited terrain.
-
B.
Awaji Island
Awaji Island is a large island in Japan’s Seto Inland Sea, known as the epicenter of the 1995 Great Hanshin earthquake and for its scenic landscapes and cultural heritage.
-
C.
Ninoshima Island
Ninoshima Island is a small island in Hiroshima Bay, Japan, known for its historical role during World War II and its proximity to the city of Hiroshima.
-
D.
Etajima Island
Etajima Island is a Japanese island in Hiroshima Prefecture best known as the historic site of the former Imperial Japanese Naval Academy.
-
E.
Yumeshima Island
Yumeshima Island is a large artificial island in Osaka Bay, Japan, being developed as a major waterfront district and international event site.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae74fd90819091d67eec6381d5e0 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ed5afb081909838f01bde45268d |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 1:54 p.m.