Triple
T13528259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Nakadake area |
E323066
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Aso caldera |
E83520
|
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: Aso caldera | Statement: [Mount Nakadake area, locatedIn, Aso caldera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aso caldera Context triple: [Mount Nakadake area, locatedIn, Aso caldera]
-
A.
Mount Haruna caldera
Mount Haruna caldera is the large volcanic depression associated with Mount Haruna, formed by past explosive eruptions and collapse of the volcano’s summit.
-
B.
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.
-
C.
Isarog Volcano
Isarog Volcano is a large, forested stratovolcano in southern Luzon, Philippines, known for its rich biodiversity and prominent conical peak.
-
D.
Hakone volcano
Hakone volcano is an active complex volcano in Japan known for its caldera, hot springs, and role in the geologically dynamic region near Mount Fuji.
-
E.
Mount Aso
chosen
Mount Aso is one of Japan’s largest and most active volcanoes, featuring a vast caldera and multiple central cones on the island of Kyushu.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba9fccc81908ec2e33d66aae8ea |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.