Triple
T17531881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qaidam Basin |
E426954
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Xiezuo Lake
Xiezuo Lake is a saline lake located within the arid Qaidam Basin on the northeastern Tibetan Plateau in China.
|
E1275979
|
NE FINISHED |
How this triple was built (4 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: Xiezuo Lake | Statement: [Qaidam Basin, hasLake, Xiezuo Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiezuo Lake Context triple: [Qaidam Basin, hasLake, Xiezuo Lake]
-
A.
Beixiu Lake
Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
-
B.
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.
-
C.
Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
-
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.
Yanhu Lake
Yanhu Lake is a scenic mountain lake nestled within China’s Yandang Mountains, known for its picturesque landscapes and tranquil natural setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xiezuo Lake Triple: [Qaidam Basin, hasLake, Xiezuo Lake]
Generated description
Xiezuo Lake is a saline lake located within the arid Qaidam Basin on the northeastern Tibetan Plateau in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiezuo Lake Target entity description: Xiezuo Lake is a saline lake located within the arid Qaidam Basin on the northeastern Tibetan Plateau in China.
-
A.
Beixiu Lake
Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
-
B.
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.
-
C.
Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
-
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.
Yanhu Lake
Yanhu Lake is a scenic mountain lake nestled within China’s Yandang Mountains, known for its picturesque landscapes and tranquil natural setting.
- F. None of above. chosen
Provenance (5 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e453695734819092d4dcbab4a4fa01 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d285a78c81908e12cc1bd40eb679 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d9b348248190b70359aec64ead53 |
completed | May 11, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01da5a61b08190bcb94416f7cc31bc |
completed | May 11, 2026, 1:32 p.m. |
Created at: April 10, 2026, 5:49 a.m.