Triple
T10926610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiuxiapu Garden |
E258084
|
entity |
| Predicate | hasNameInChinese |
P4878
|
FINISHED |
| Object | 秋霞圃 |
E258084
|
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: 秋霞圃 | Statement: [Qiuxiapu Garden, hasNameInChinese, 秋霞圃]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 秋霞圃 Context triple: [Qiuxiapu Garden, hasNameInChinese, 秋霞圃]
-
A.
Qiuxiapu Garden
chosen
Qiuxiapu Garden is a historic classical Chinese garden in Shanghai known for its traditional landscaping, pavilions, and tranquil water features.
-
B.
北秀湖
北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
-
C.
西堤
西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观，以其连桥叠景和湖山胜色著称。
-
D.
Pengzu Garden
Pengzu Garden is a historic scenic garden and cultural attraction in Xuzhou, China, associated with local legends and traditional Chinese landscape design.
-
E.
Ke Zhi Garden
Ke Zhi Garden is a historic classical Chinese garden in Zhujiajiao water town, noted for its traditional architecture, pavilions, and landscaped scenery.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709165188190aa30dd08deddade4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217369b648190914c58db6f6e0200 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.