Triple
T22220537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shangqing scriptures |
E549195
|
entity |
| Predicate | compiledAt |
P64343
|
FINISHED |
| Object | Mount Mao |
—
|
NE NERFINISHED |
How this triple was built (3 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 Mao | Statement: [Shangqing scriptures, compiledAt, Mount Mao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Mao Context triple: [Shangqing scriptures, compiledAt, Mount Mao]
-
A.
Mount Qi
Mount Qi is a historically significant mountain in Shaanxi, China, closely associated with the early Zhou dynasty and revered as the legendary burial site of King Wen of Zhou.
-
B.
Mount Li
Mount Li is a mountain in Shaanxi Province, China, historically significant as the burial site of the First Qin Emperor and the location of the famed Terracotta Army.
-
C.
Mount Miantian
Mount Miantian is a notable peak in northern Taiwan’s Datun Mountain range, known for its volcanic terrain and hiking trails.
-
D.
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.
-
E.
Mount Cangyan
Mount Cangyan is a famous scenic mountain area in Hebei, China, known for its dramatic cliffs, ancient temples, and the iconic stone arch bridge connecting temple buildings over a deep gorge.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Mao Target entity description: Mount Mao is a historically significant Taoist sacred mountain in China, renowned as an early center of Shangqing (Highest Clarity) religious activity and scripture production.
-
A.
Mount Qi
Mount Qi is a historically significant mountain in Shaanxi, China, closely associated with the early Zhou dynasty and revered as the legendary burial site of King Wen of Zhou.
-
B.
Mount Li
Mount Li is a mountain in Shaanxi Province, China, historically significant as the burial site of the First Qin Emperor and the location of the famed Terracotta Army.
-
C.
Mount Miantian
Mount Miantian is a notable peak in northern Taiwan’s Datun Mountain range, known for its volcanic terrain and hiking trails.
-
D.
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.
-
E.
Mount Cangyan
Mount Cangyan is a famous scenic mountain area in Hebei, China, known for its dramatic cliffs, ancient temples, and the iconic stone arch bridge connecting temple buildings over a deep gorge.
- F. None of above. chosen
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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.