Triple
T15406769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Shikotsu |
E368477
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Shikotsu caldera |
E378912
|
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: Shikotsu caldera | Statement: [Lake Shikotsu, partOf, Shikotsu caldera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shikotsu caldera Context triple: [Lake Shikotsu, partOf, Shikotsu caldera]
-
A.
Shikotsu caldera
chosen
Shikotsu caldera is a large volcanic depression in Hokkaido, Japan, known for its scenic caldera lake and geothermal features.
-
B.
Lake Kussharo caldera
Lake Kussharo caldera is a large volcanic caldera in eastern Hokkaido, Japan, known for its expansive lake, surrounding mountains, and scenic hot spring areas.
-
C.
Minamidake crater
Minamidake crater is a principal active summit crater of the Sakurajima volcano in Kagoshima Prefecture, Japan, known for frequent explosive eruptions.
-
D.
Eboshidake
Eboshidake is a mountain in Japan, known as one of the peaks in the volcanic landscape of the Kirishima mountain range on Kyushu.
-
E.
Showa crater
Showa crater is one of the main active vents of the Sakurajima volcano in Japan, known for its frequent explosive eruptions and ash emissions.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a716248819094fd8b205cc2a3f2 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.