Triple
T10523106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyata |
E248223
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Weiming Lake |
E252060
|
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: Weiming Lake | Statement: [Boyata, overlooks, Weiming Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiming Lake Context triple: [Boyata, overlooks, Weiming Lake]
-
A.
Weiming Lake
chosen
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.
-
B.
Xingyun Lake
Xingyun Lake is a plateau freshwater lake in Yuxi, Yunnan Province, China, known for its scenic beauty and ecological significance.
-
C.
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.
-
D.
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.
-
E.
Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e155b08190996325bf484ec55d |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e1c73208190aa3d3e30aa4482ac |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:29 p.m.