Triple
T15701505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xueshan Range |
E380603
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chiyoushan |
E1182780
|
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: Chiyoushan | Statement: [Xueshan Range, contains, Chiyoushan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiyoushan Context triple: [Xueshan Range, contains, Chiyoushan]
-
A.
Mount Yufu
Mount Yufu is a prominent volcanic peak in Oita Prefecture, Japan, known for its twin summits, scenic hiking trails, and panoramic views over the surrounding hot spring resort areas.
-
B.
Nyoigatake
Nyoigatake is a mountain in Kyoto, Japan, best known for the giant "大" character bonfire lit on its slope during the annual Gozan no Okuribi festival.
-
C.
Taoshan
chosen
Taoshan is a prominent mountain peak in Taiwan known for its scenic alpine landscapes and popular hiking trails.
-
D.
Mount Shiomi
Mount Shiomi is a prominent peak in Japan’s Southern Alps, known for its alpine scenery and challenging hiking routes.
-
E.
Matsushima
Matsushima was a Japanese protected cruiser that served as a flagship of the Imperial Japanese Navy during the First Sino-Japanese War.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6e965881909319f85c51c6fb74 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59535908190a3d085a5e74b06e8 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:45 a.m.