Triple
T18737643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longkou |
E458205
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Qixia |
—
|
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: Qixia | Statement: [Longkou, borderedBy, Qixia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qixia Context triple: [Longkou, borderedBy, Qixia]
-
A.
Qixia
chosen
Qixia is a county-level city in eastern China’s Shandong province, known for its apple production and scenic hilly landscapes.
-
B.
Xiqiao Mountain
Xiqiao Mountain is a famous scenic and cultural mountain area in Foshan, Guangdong, known for its volcanic landscape, lush greenery, and large statue of the Buddhist goddess Guanyin.
-
C.
Xishan
Xishan is the given name of Yan Xishan, a prominent Chinese warlord and political leader active in Shanxi during the early 20th century.
-
D.
Xitang Zhizang
Xitang Zhizang was a prominent Tang dynasty Chan (Zen) Buddhist master known for his role in the development and transmission of the Hongzhou school of Chan.
-
E.
Zhuzihu
Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.