Triple
T20581024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xin’anjiang Reservoir |
E505653
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Qiandao Lake |
—
|
NE NERFINISHED |
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: Qiandao Lake | Statement: [Xin’anjiang Reservoir, near, Qiandao Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qiandao Lake Context triple: [Xin’anjiang Reservoir, near, Qiandao Lake]
-
A.
Qiandao Lake
chosen
Qiandao Lake is a large, man-made reservoir in eastern China famed for its thousands of forested islands, clear waters, and popular tourist and recreation areas.
-
B.
Dianshan Lake
Dianshan Lake is a large freshwater lake in Shanghai, China, known as an important water source and popular recreational area.
-
C.
Tianmu Lake
Tianmu Lake is a scenic freshwater lake in Liyang, Jiangsu Province, China, renowned for its clear waters, tea culture, and popular eco-tourism attractions.
-
D.
Tianchi
Tianchi is a high-altitude crater lake on the border between China and North Korea, famed for its scenic beauty and volcanic setting.
-
E.
Dinghu Lake
Dinghu Lake is a scenic freshwater lake in Zhaoqing, Guangdong, known for its tranquil landscapes and role as part of the Dinghu Mountain nature and tourist area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90e98a88190b5cb077973f97e68 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:40 a.m.