Triple
T16123876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kurodake |
E391213
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 黒岳 |
—
|
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: 黒岳 | Statement: [Mount Kurodake, hasJapaneseName, 黒岳]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 黒岳 Context triple: [Mount Kurodake, hasJapaneseName, 黒岳]
-
A.
Mount Kuro
chosen
Mount Kuro is a volcanic peak in Japan’s Daisetsuzan mountain range, known for its alpine scenery and popular hiking routes.
-
B.
Mount Suiro
Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
-
C.
Mount Ōyama
Mount Ōyama is a prominent and historically significant mountain in Kanagawa Prefecture, Japan, known for its religious sites, scenic hiking trails, and views over the Sagami Bay region.
-
D.
Mount Sanpō
Mount Sanpō is a peak in Japan’s Chichibu mountain range, known for its forested hiking trails and scenic views of the surrounding interior ranges.
-
E.
Mount Tsubakuro
Mount Tsubakuro is a popular alpine peak in Japan’s Northern Alps, known for its panoramic views, distinctive white granite ridges, and accessible hiking routes.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020342988190add65c784b8ee179 |
completed | April 17, 2026, 9:48 a.m. |
Created at: April 10, 2026, 5 a.m.