Triple
T12661108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandang Mountains |
E302425
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | North Yandang |
E302425
|
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: North Yandang | Statement: [Yandang Mountains, hasPart, North Yandang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Yandang Context triple: [Yandang Mountains, hasPart, North Yandang]
-
A.
Yandang Mountains
chosen
The Yandang Mountains are a renowned scenic mountain range in eastern China celebrated for their dramatic cliffs, waterfalls, and rich biodiversity.
-
B.
Fengjing
Fengjing is an ancient water town in Shanghai, China, renowned for its well-preserved traditional architecture, stone bridges, and network of canals.
-
C.
Jiuqu Xi
Jiuqu Xi is a scenic, winding river in China’s Wuyi Mountains, renowned for its dramatic gorges, bamboo-raft tours, and cultural significance.
-
D.
Yongshu
Yongshu is the courtesy name of Ouyang Xiu, a prominent Song dynasty Chinese statesman, historian, and literary figure.
-
E.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688819fc8190bc03a1a11f96d25f |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.