Triple
T9912713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beixiu Lake |
E185784
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Beixiu Lake |
E185784
|
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: Beixiu Lake | Statement: [Beixiu Lake, hasNameInEnglish, Beixiu Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beixiu Lake Context triple: [Beixiu Lake, hasNameInEnglish, Beixiu Lake]
-
A.
Beixiu Lake
chosen
Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
-
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.
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.
-
D.
Qilu Lake
Qilu Lake is a freshwater lake located near the city of Yuxi in Yunnan Province, southwestern China, known for its plateau wetland ecosystem.
-
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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dcbf28c8190aa9f6a8be423670a |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.