Triple
T12210794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunlong Mountain |
E290950
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Yunlong Lake |
E290949
|
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: Yunlong Lake | Statement: [Yunlong Mountain, near, Yunlong Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yunlong Lake Context triple: [Yunlong Mountain, near, Yunlong Lake]
-
A.
Yunlong Lake
chosen
Yunlong Lake is a scenic freshwater lake and popular recreational area in Xuzhou, Jiangsu Province, known for its picturesque surroundings and cultural attractions.
-
B.
Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
-
C.
Xingyun Lake
Xingyun Lake is a plateau freshwater lake in Yuxi, Yunnan Province, China, known for its scenic beauty and ecological significance.
-
D.
Liuye Lake
Liuye Lake is a scenic freshwater lake and popular leisure destination in Changde, Hunan Province, known for its natural beauty and recreational activities.
-
E.
Baofeng Lake
Baofeng Lake is a picturesque mountain lake in China’s Wulingyuan area, known for its clear emerald waters, dramatic karst peaks, and popular boat tours.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9f45108190a814cdca52e77b5e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.