Triple
T4396544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 汉阳 |
E99504
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | 武汉城市圈 |
E376028
|
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: 武汉城市圈 | Statement: [汉阳, partOf, 武汉城市圈]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 武汉城市圈 Context triple: [汉阳, partOf, 武汉城市圈]
-
A.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区，位于长江与汉江交汇处，以其工业基础和文化遗产而闻名。
-
B.
黄冈市
黄冈市是中国湖北省东部的一座地级市，位于长江中游、与武汉相邻，以其红色革命历史和丰富的自然资源而闻名。
-
C.
Changsha–Zhuzhou–Xiangtan city cluster
The Changsha–Zhuzhou–Xiangtan city cluster is a major urban agglomeration in Hunan Province, China, centered on the closely linked cities of Changsha, Zhuzhou, and Xiangtan and serving as an important regional economic and transportation hub.
-
D.
Wuhan suburban districts
chosen
Wuhan suburban districts are the outlying administrative areas surrounding the urban core of Wuhan, encompassing its rural, industrial, and newly developing zones.
-
E.
Jianghan District
Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352aca86c8190b5af7e6600072066 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e53ae7bc8190b216319e522b11c6 |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:20 p.m.