Triple
T13340822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canglang Pavilion |
E317818
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object | 沧浪亭 |
E317818
|
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: 沧浪亭 | Statement: [Canglang Pavilion, ChineseName, 沧浪亭]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 沧浪亭 Context triple: [Canglang Pavilion, ChineseName, 沧浪亭]
-
A.
春帆楼
春帆楼 is a historic traditional Japanese restaurant and inn in Shimonoseki, Yamaguchi Prefecture, famed as the site where the Treaty of Shimonoseki was signed.
-
B.
青云亭
青云亭 is the Chinese name of Cheng Hoon Teng Temple, a historic and culturally significant Chinese temple located in Malacca, Malaysia.
-
C.
晴川阁
晴川阁是一座位于湖北武汉汉阳江畔、以优美江景和深厚历史文化底蕴著称的古典楼阁式建筑。
-
D.
云龙山
云龙山是一座位于中国的山岳景区，以秀美的自然风光和人文景观而闻名。
-
E.
Canglang Pavilion
chosen
Canglang Pavilion is one of Suzhou’s oldest and most renowned classical Chinese gardens, celebrated for its elegant pavilions, poetic landscaping, and integration of water and rock 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d0379d481909a50fff31b19fed1 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f3ecf4c8190bb9eee699859dc08 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.