Triple
T17108717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mingsha Sand Dunes |
E415168
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object | 鸣沙山 |
E415168
|
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: 鸣沙山 | Statement: [Mingsha Sand Dunes, ChineseName, 鸣沙山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鸣沙山 Context triple: [Mingsha Sand Dunes, ChineseName, 鸣沙山]
-
A.
Mingsha Sand Dunes
chosen
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.
-
B.
嘉峪关市
嘉峪关市是位于中国甘肃省西北部、以明长城西端嘉峪关关城闻名的地级市和重要工业城市。
-
C.
Zhangye Danxia Landform Geological Park
Zhangye Danxia Landform Geological Park is a famous scenic area in northwestern China known for its striking multicolored, layered rock formations and unique Danxia landforms.
-
D.
宝塔山
宝塔山是位于中国陕西省延安市的一座著名山丘与地标性景区，以山顶的古塔和其在中国革命历史中的象征意义而闻名。
-
E.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2906a081909d0d43cf04319f52 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a03e2e48190a0b631dd8f6f8a24 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.