Triple
T2183328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qingpu District |
E49094
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Dianshan Lake |
E233560
|
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: Dianshan Lake | Statement: [Qingpu District, hasLake, Dianshan Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dianshan Lake Context triple: [Qingpu District, hasLake, Dianshan Lake]
-
A.
Dianshan Lake
chosen
Dianshan Lake is a large freshwater lake in Shanghai, China, known as an important water source and popular recreational area.
-
B.
West Lake
West Lake is the largest freshwater lake in Hanoi, Vietnam, renowned for its scenic beauty, historic temples, and surrounding cafes and promenades.
-
C.
Beixiu Lake
Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
-
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.
Kunming Lake
Kunming Lake is a large, scenic man-made lake in Beijing that forms the central water feature of the Summer Palace imperial garden complex.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0d551881909d7f907378e1b2b7 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71b3eed081909a09bf1ef622fad8 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:45 p.m.