Triple
T1262175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shandong |
E12524
|
entity |
| Predicate | hasFamousSite |
P1098
|
FINISHED |
| Object | Mount Tai |
E142964
|
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: Mount Tai | Statement: [Shandong, hasFamousSite, Mount Tai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tai Context triple: [Shandong, hasFamousSite, Mount Tai]
-
A.
Mount Tai
chosen
Mount Tai is one of China’s most famous and historically significant sacred mountains, revered in Chinese religion and culture for millennia.
-
B.
Huangshan
Huangshan is a famous mountain range in eastern China renowned for its dramatic granite peaks, ancient pine trees, hot springs, and sea-of-clouds scenery, and is a UNESCO World Heritage Site.
-
C.
Qixing Mountain
Qixing Mountain is a prominent volcanic peak in northern Taiwan known for its scenic hiking trails and panoramic views over Taipei.
-
D.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
-
E.
Yangmingshan
Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc77f4c8190b97a0ceaa31cfd49 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9982a1588190999045eaae01e559 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.