Triple
T6354903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qufu |
E142965
|
entity |
| Predicate | locatedNear |
P294
|
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: [Qufu, locatedNear, Mount Tai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tai Context triple: [Qufu, locatedNear, 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.
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.
-
C.
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.
-
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.
Taishan
Taishan is a county-level city in Guangdong Province, China, known as the ancestral homeland of many overseas Chinese and for its coastal scenery and historic villages.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bab02948190bc64bb0b96a55602 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:31 p.m.