Triple
T18005301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulan Buh Desert |
E430729
|
entity |
| Predicate | hasNameInChinese |
P4878
|
FINISHED |
| Object | 乌兰布和沙漠 |
—
|
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: 乌兰布和沙漠 | Statement: [Ulan Buh Desert, hasNameInChinese, 乌兰布和沙漠]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 乌兰布和沙漠 Context triple: [Ulan Buh Desert, hasNameInChinese, 乌兰布和沙漠]
-
A.
阿拉善盟
阿拉善盟是位于中国内蒙古自治区西部、以广袤荒漠和独特自然景观著称的地级行政区。
-
B.
Badain Jaran Desert
The Badain Jaran Desert is a vast desert in northwestern China known for its towering sand dunes and numerous inter-dune lakes.
-
C.
Ordos Desert
The Ordos Desert is a high-altitude desert region in Inner Mongolia, China, characterized by arid plateaus, sand dunes, and steppe landscapes within the great bend of the Yellow River.
-
D.
Ulan Buh Desert
chosen
The Ulan Buh Desert is an arid desert region in western Inner Mongolia, China, known for its shifting sand dunes and role as part of the larger Gobi Desert ecosystem.
-
E.
Mingsha Sand Dunes
Mingsha Sand Dunes is a famous desert scenic area near Dunhuang in China, known for its towering sand hills, echoing sands, and views over the nearby Crescent Lake oasis.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51ba1888190a339d726e92f376b |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.