Triple
T9046761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lu Xun |
E216773
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object |
Yushan
Yushan is the courtesy name of Lu Xun, the influential early 20th-century Chinese writer and leading figure of modern Chinese literature.
|
E774382
|
NE FINISHED |
How this triple was built (4 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: Yushan | Statement: [Lu Xun, courtesyName, Yushan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yushan Context triple: [Lu Xun, courtesyName, Yushan]
-
A.
Yushan
Yushan is the tallest mountain in Taiwan and East Asia, renowned for its rugged alpine scenery and significance as a national symbol.
-
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.
Mount Yamantau
Mount Yamantau is a prominent peak in Russia’s southern Ural Mountains, widely known for its strategic military significance and associated secrecy.
-
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.
Shennongding Peak
Shennongding Peak is the highest summit in China’s Shennongjia region, renowned for its rugged forested landscapes, rich biodiversity, and associated legends.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yushan Triple: [Lu Xun, courtesyName, Yushan]
Generated description
Yushan is the courtesy name of Lu Xun, the influential early 20th-century Chinese writer and leading figure of modern Chinese literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yushan Target entity description: Yushan is the courtesy name of Lu Xun, the influential early 20th-century Chinese writer and leading figure of modern Chinese literature.
-
A.
Yushan
Yushan is the tallest mountain in Taiwan and East Asia, renowned for its rugged alpine scenery and significance as a national symbol.
-
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.
Mount Yamantau
Mount Yamantau is a prominent peak in Russia’s southern Ural Mountains, widely known for its strategic military significance and associated secrecy.
-
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.
Shennongding Peak
Shennongding Peak is the highest summit in China’s Shennongjia region, renowned for its rugged forested landscapes, rich biodiversity, and associated legends.
- F. None of above. chosen
Provenance (5 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b4e4b888190a425e29b193b506f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfed8970448190b3deac1d8f46c639 |
completed | April 3, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfedf299908190852cc627fd7134b9 |
completed | April 3, 2026, 4:42 p.m. |
Created at: March 30, 2026, 7:09 p.m.