Triple
T16928828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirishima |
E410648
|
entity |
| Predicate | hasVolcano |
P6356
|
FINISHED |
| Object | Mount Kirishima |
—
|
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: Mount Kirishima | Statement: [Kirishima, hasVolcano, Mount Kirishima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Kirishima Context triple: [Kirishima, hasVolcano, Mount Kirishima]
-
A.
Mount Ishizuchi
Mount Ishizuchi is a prominent and sacred peak in western Japan, renowned as one of the country's Seven Holy Mountains and a popular destination for hiking and pilgrimage.
-
B.
Kirishima
chosen
Kirishima is a city in Kagoshima Prefecture, Japan, known for its volcanic mountain range, hot springs, and role in Japanese mythology.
-
C.
Kirishima
Kirishima is a Japanese Kongō-class fast battleship of the Imperial Japanese Navy that served prominently during World War II.
-
D.
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.
-
E.
Sakurajima
Sakurajima is an active stratovolcano in Kagoshima Prefecture, Japan, known for its frequent eruptions and dramatic presence in Kagoshima Bay.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf23873c8190bdc9121d6c3850e2 |
completed | April 18, 2026, 6:36 p.m. |
Created at: April 10, 2026, 5:30 a.m.