Triple
T3048939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Aso |
E83520
|
entity |
| Predicate | hasCone |
P45334
|
FINISHED |
| Object | Eboshidake |
E325676
|
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: Eboshidake | Statement: [Mount Aso, hasCone, Eboshidake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eboshidake Context triple: [Mount Aso, hasCone, Eboshidake]
-
A.
Kishimadake
chosen
Kishimadake is one of the volcanic cones forming part of Japan’s Mount Aso, one of the world’s largest active caldera volcanoes.
-
B.
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.
-
C.
Mount Tanigawa
Mount Tanigawa is a prominent peak on the border of Gunma and Niigata Prefectures in Japan, known for its rugged terrain, heavy snowfall, and popularity among climbers and hikers.
-
D.
Mount Aso
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.
-
E.
Mount Ōminakami
Mount Ōminakami is a mountain in Japan known primarily as the headwaters area of the Tone River, one of the country’s major river systems.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9e13f16c81909e11ed1444c71151 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2034c337481909c1b1ae304b89c24 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:01 p.m.