Triple
T7840921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhangjiajie |
E181799
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Baofeng Lake |
E619879
|
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: Baofeng Lake | Statement: [Zhangjiajie, hasTouristAttraction, Baofeng Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baofeng Lake Context triple: [Zhangjiajie, hasTouristAttraction, Baofeng Lake]
-
A.
Baofeng Lake
chosen
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.
-
B.
Beixiu Lake
Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
-
C.
Yunlong Lake
Yunlong Lake is a scenic freshwater lake and popular recreational area in Xuzhou, Jiangsu Province, known for its picturesque surroundings and cultural attractions.
-
D.
Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
-
E.
Weiming Lake
Weiming Lake is a scenic, historically significant lake located at the heart of Peking University’s campus in Beijing, renowned as a symbol of the university’s cultural and academic life.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aca5e348190bb73fc4748093248 |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:47 p.m.