Triple
T8949552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hua |
E213308
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Huashan |
E213308
|
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: Huashan | Statement: [Mount Hua, alsoKnownAs, Huashan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huashan Context triple: [Mount Hua, alsoKnownAs, Huashan]
-
A.
Mount Taibai
Mount Taibai is a prominent, often snow-capped mountain in central China known for its rich biodiversity, dramatic elevation changes, and cultural significance within the Qinling range.
-
B.
Chihsing Mountain
Chihsing Mountain is a volcanic peak in Yangmingshan National Park near Taipei, Taiwan, known as the highest mountain in the Taipei area and a popular hiking destination.
-
C.
Mount Song
Mount Song is one of China’s Five Great Mountains, renowned as a sacred Taoist and Buddhist site that hosts ancient temples, academies, and other historic monuments around Dengfeng.
-
D.
Tianzhu Peak
Tianzhu Peak is the tallest summit of China’s Wudang Mountains, a range famed for its Taoist temples and martial arts heritage.
-
E.
Mount Hua
chosen
Mount Hua is one of China’s Five Great Mountains, renowned for its steep granite peaks, ancient Taoist temples, and dramatic cliffside trails in central China.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670b5f50819080f1c73992fe5281 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd8b42408190be3e044b2a596a8b |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 6:59 p.m.