Triple
T1851136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanggang |
E41595
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
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。
|
E204941
|
NE FINISHED |
How this triple was built (4 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: 黄冈市 | Statement: [Huanggang, hasChineseName, 黄冈市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 黄冈市 Context triple: [Huanggang, hasChineseName, 黄冈市]
-
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.
Huangshi Municipal People's Government
Huangshi Municipal People's Government is the principal administrative authority responsible for local governance, public services, and policy implementation in the prefecture-level city of Huangshi, Hubei Province, China.
-
C.
Suizhou
Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
-
D.
十堰
十堰 is a prefecture-level city in northwestern Hubei Province, China, known as an important automotive manufacturing base and gateway to the Wudang Mountains.
-
E.
Xiaogan
Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, within Hubei Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 黄冈市 Triple: [Huanggang, hasChineseName, 黄冈市]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 黄冈市 Target entity description: 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。
-
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.
Huangshi Municipal People's Government
Huangshi Municipal People's Government is the principal administrative authority responsible for local governance, public services, and policy implementation in the prefecture-level city of Huangshi, Hubei Province, China.
-
C.
Suizhou
Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
-
D.
十堰
十堰 is a prefecture-level city in northwestern Hubei Province, China, known as an important automotive manufacturing base and gateway to the Wudang Mountains.
-
E.
Xiaogan
Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, within Hubei Province.
- F. None of above. chosen
Provenance (5 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06829b081908767b3df5524c7d4 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c81f2c81908339f6a1d1987631 |
completed | March 8, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69adcb1565a881908dfc906654429e3f |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbbc8a108190ad77e91f2ec14b8f |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.