Triple
T21439780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 神戸大学附属中等教育学校 |
E528906
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | 六甲山 |
—
|
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: 六甲山 | Statement: [神戸大学附属中等教育学校, locatedNear, 六甲山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 六甲山 Context triple: [神戸大学附属中等教育学校, locatedNear, 六甲山]
-
A.
六甲山地
chosen
六甲山地は、兵庫県南東部に位置し、神戸市の背後に連なる山並みとして知られる観光・レジャー地帯です。
-
B.
高尾山
高尾山 is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, rich natural environment, and cultural sites such as Yakuo-in Temple.
-
C.
城山
城山 is a historic hill in Kagoshima, Japan, best known as the site of the final battle of the Satsuma Rebellion and for its panoramic views over the city and Sakurajima volcano.
-
D.
七星山
七星山 is a prominent volcanic peak in northern Taiwan, located in Yangmingshan National Park and known for its scenic hiking trails and geothermal landscapes.
-
E.
Guanzhi Mountain
Guanzhi Mountain is a scenic mountainous area in Longyan, Fujian, known for its striking rock formations, lush landscapes, and popular 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b700237c8190bbcb4bedc4242719 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.