Triple
T11801425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leshan |
E280634
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Emei |
E211984
|
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 Emei | Statement: [Leshan, near, Mount Emei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Emei Context triple: [Leshan, near, Mount Emei]
-
A.
Mount Emei
chosen
Mount Emei is one of China’s Four Sacred Buddhist Mountains, renowned for its ancient temples, rich biodiversity, and dramatic, cloud-wreathed peaks.
-
B.
Mount Qingcheng
Mount Qingcheng is a renowned Taoist sacred mountain in Sichuan, China, celebrated for its lush forested peaks, ancient temples, and tranquil spiritual atmosphere.
-
C.
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.
-
D.
Longmenshan
Longmenshan is a mountain range in central China that forms part of the scenic landscape and geological setting around the Longmen Grottoes near Luoyang.
-
E.
Mount Tai
Mount Tai is one of China’s most famous and historically significant sacred mountains, revered in Chinese religion and culture for millennia.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166dbcb848190a5942ec00a2ca2f9 |
completed | April 29, 2026, 2:03 a.m. |
Created at: April 8, 2026, 9:42 p.m.