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.