Triple

T10109945
Position Surface form Disambiguated ID Type / Status
Subject 湘语 E218213 entity
Predicate region P40 FINISHED
Object 湖北省部分地区
湖北省部分地区是中国中部湖北省内使用湘语方言的若干区域,主要分布在与湖南接壤的毗邻地带。
E842122 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: 湖北省部分地区 | Statement: [湘语, region, 湖北省部分地区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 湖北省部分地区
Context triple: [湘语, region, 湖北省部分地区]
  • 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. northwestern Hubei Province
    Northwestern Hubei Province is a mountainous region of central China known for its rugged terrain, river valleys, and the Danjiangkou Reservoir, an important water source for the South–North Water Transfer Project.
  • 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. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • E. Huangpi, Hubei, Qing Empire
    Huangpi, Hubei, Qing Empire was a historical county-level area in central China that later became part of modern Wuhan in 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: 湖北省部分地区
Triple: [湘语, region, 湖北省部分地区]
Generated description
湖北省部分地区是中国中部湖北省内使用湘语方言的若干区域,主要分布在与湖南接壤的毗邻地带。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 湖北省部分地区
Target entity description: 湖北省部分地区是中国中部湖北省内使用湘语方言的若干区域,主要分布在与湖南接壤的毗邻地带。
  • 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. northwestern Hubei Province
    Northwestern Hubei Province is a mountainous region of central China known for its rugged terrain, river valleys, and the Danjiangkou Reservoir, an important water source for the South–North Water Transfer Project.
  • 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. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • E. Huangpi, Hubei, Qing Empire
    Huangpi, Hubei, Qing Empire was a historical county-level area in central China that later became part of modern Wuhan in 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cdb3c88190a74f75bf865664f3 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc1805d08190bc39aadf1e84a569 completed April 5, 2026, 8:54 p.m.
NEDg Description generation batch_69d2cd8f0a688190a437b7e2d158c70c completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce422e4c8190b54b94cdfa0c4c98 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:03 p.m.