Triple
T21938070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou-lan |
E541745
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lop Nur |
—
|
NE NERFINISHED |
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: Lop Nur | Statement: [Lou-lan, locatedNear, Lop Nur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lop Nur Context triple: [Lou-lan, locatedNear, Lop Nur]
-
A.
Lop Nur
chosen
Lop Nur is a former salt lake in China’s Xinjiang region, known for its desiccated basin, archaeological sites, and use as a nuclear testing ground.
-
B.
Ayding Lake
Ayding Lake is a hypersaline, often seasonally dry lake in China’s Turpan Depression, notable as one of the lowest points on Earth’s land surface.
-
C.
Khar Us Lake
Khar Us Lake is a large freshwater lake in western Mongolia, known for its wetlands, birdlife, and role within the interconnected Great Lakes Depression.
-
D.
Karakul Lake
Karakul Lake is a high-altitude glacial lake in China’s Xinjiang region, famed for its striking turquoise waters set against snow-capped Pamir Mountains.
-
E.
Khoton Lake
Khoton Lake is a high-altitude glacial lake in western Mongolia’s Altai Mountains, known for its clear waters, surrounding snow-capped peaks, and remote, pristine natural setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241e35bc81909eb3225d5cd97b92 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:55 p.m.