Triple
T21351637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitadake |
E526495
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Sakurajima island |
—
|
NE NERFINISHED |
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: Sakurajima island | Statement: [Kitadake, isPartOf, Sakurajima island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakurajima island Context triple: [Kitadake, isPartOf, Sakurajima island]
-
A.
Sakurajima
chosen
Sakurajima is an active stratovolcano in Kagoshima Prefecture, Japan, known for its frequent eruptions and dramatic presence in Kagoshima Bay.
-
B.
Panari-jima
Panari-jima is a small, remote island in Japan’s Yaeyama Islands, known for its pristine beaches, clear waters, and rich surrounding coral reefs.
-
C.
Kuchinoerabu-jima volcano
Kuchinoerabu-jima volcano is an active stratovolcano in southern Japan known for its frequent eruptions and hazardous ash and gas emissions.
-
D.
Kirishima
Kirishima is a city in Kagoshima Prefecture, Japan, known for its volcanic mountain range, hot springs, and role in Japanese mythology.
-
E.
Kirishima
Kirishima is a Japanese Kongō-class fast battleship of the Imperial Japanese Navy that served prominently during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bab98148190aa14d52fd37bc894 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:04 p.m.