Triple
T9640433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangzhou District |
E233049
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
黄州区
黄州区 is an urban district under the jurisdiction of Huanggang City in Hubei Province, China, known as its political, economic, and cultural center.
|
E812624
|
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: 黄州区 | Statement: [Huangzhou District, hasChineseName, 黄州区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 黄州区 Context triple: [Huangzhou District, hasChineseName, 黄州区]
-
A.
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。
-
B.
黄石港区
黄石港区 is an urban district of Huangshi City in Hubei Province, China, known as one of the city’s central administrative and commercial areas along the Yangtze River.
-
C.
孝感
孝感 is a prefecture-level city in central China’s Hubei Province, known for its historical and cultural heritage and its proximity to Wuhan.
-
D.
大冶市
大冶市 is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal smelting industry.
-
E.
茅箭区
茅箭区 is an urban district of Shiyan City in Hubei Province, China, known as a central administrative and commercial area.
- 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: 黄州区 Triple: [Huangzhou District, hasChineseName, 黄州区]
Generated description
黄州区 is an urban district under the jurisdiction of Huanggang City in Hubei Province, China, known as its political, economic, and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 黄州区 Target entity description: 黄州区 is an urban district under the jurisdiction of Huanggang City in Hubei Province, China, known as its political, economic, and cultural center.
-
A.
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。
-
B.
黄石港区
黄石港区 is an urban district of Huangshi City in Hubei Province, China, known as one of the city’s central administrative and commercial areas along the Yangtze River.
-
C.
孝感
孝感 is a prefecture-level city in central China’s Hubei Province, known for its historical and cultural heritage and its proximity to Wuhan.
-
D.
大冶市
大冶市 is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal smelting industry.
-
E.
茅箭区
茅箭区 is an urban district of Shiyan City in Hubei Province, China, known as a central administrative and commercial area.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18248ffe4819095d4ea20951eca01 |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d1864bd0b881908806762ce9df3029 |
completed | April 4, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d186d03eac8190a1080d5c25f4643c |
completed | April 4, 2026, 9:46 p.m. |
Created at: March 30, 2026, 8:12 p.m.