Triple
T14069604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tengwang Pavilion |
E338569
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 滕王阁 |
E338569
|
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: 滕王阁 | Statement: [Tengwang Pavilion, hasChineseName, 滕王阁]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 滕王阁 Context triple: [Tengwang Pavilion, hasChineseName, 滕王阁]
-
A.
黄鹤楼
黄鹤楼是位于中国湖北省武汉市长江南岸蛇山之巅的历史名楼，以其悠久的文化底蕴和壮丽的江景闻名于世。
-
B.
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。
-
C.
朝天门
朝天门 is a historic and iconic riverfront gate area in Chongqing, China, located at the confluence of the Yangtze and Jialing rivers and known today as a major transportation and commercial hub.
-
D.
Tengwang Pavilion
chosen
Tengwang Pavilion is a famous ancient Chinese tower in Nanchang, celebrated for its classical architecture, cultural significance, and prominence in Chinese literature and art.
-
E.
六和塔
六和塔是一座位于中国杭州钱塘江畔、始建于北宋时期的著名古塔和地标性建筑。
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568d0404819087e0fe37c72162cb |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66cfe2c8190af8354316d4f4df9 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.