Triple
T13629492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishimadake |
E325676
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nakadake |
E455204
|
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: Nakadake | Statement: [Kishimadake, near, Nakadake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakadake Context triple: [Kishimadake, near, Nakadake]
-
A.
Nakadake
chosen
Nakadake is one of the principal volcanic peaks of the active Sakurajima volcano in Kagoshima Prefecture, Japan.
-
B.
Nakadake
Nakadake is the most active central crater of Japan’s Mount Aso volcano, known for its frequent eruptions and acidic crater lake.
-
C.
Tateyama
Tateyama is a coastal city in southern Chiba Prefecture, Japan, known for its mild climate, beaches, and views of Mount Fuji across Tokyo Bay.
-
D.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
E.
Sobetsu
Sobetsu is a small town in Hokkaido, Japan, known for its scenic Lake Tōya views, hot springs, and fruit orchards.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3643a23481909103166abb6aaa4e |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 9, 2026, 9:51 p.m.