Triple

T11134444
Position Surface form Disambiguated ID Type / Status
Subject Xiaonan District E263374 entity
Predicate hasChineseName P4878 FINISHED
Object 孝南区
孝南区 is an urban district under the jurisdiction of Xiaogan City in Hubei Province, China, serving as the city’s political and economic center.
E907905 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: 孝南区 | Statement: [Xiaonan District, hasChineseName, 孝南区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 孝南区
Context triple: [Xiaonan District, hasChineseName, 孝南区]
  • A. 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.
  • B. 安陆市
    安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
  • C. 云梦县
    云梦县是位于中国湖北省孝感市下辖的一座以农业和历史文化闻名的县级行政区。
  • D. 猇亭区
    猇亭区 is an urban district of Yichang City in Hubei Province, China, known for its location along the Yangtze River and its role in regional industry and transportation.
  • E. 房县
    房县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地风光和汉水支流生态资源著称的县级行政区。
  • 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: 孝南区
Triple: [Xiaonan District, hasChineseName, 孝南区]
Generated description
孝南区 is an urban district under the jurisdiction of Xiaogan City in Hubei Province, China, serving as the city’s political and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 孝南区
Target entity description: 孝南区 is an urban district under the jurisdiction of Xiaogan City in Hubei Province, China, serving as the city’s political and economic center.
  • A. 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.
  • B. 安陆市
    安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
  • C. 云梦县
    云梦县是位于中国湖北省孝感市下辖的一座以农业和历史文化闻名的县级行政区。
  • D. 猇亭区
    猇亭区 is an urban district of Yichang City in Hubei Province, China, known for its location along the Yangtze River and its role in regional industry and transportation.
  • E. 房县
    房县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地风光和汉水支流生态资源著称的县级行政区。
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441f00d7c8190a8fe8e0c1169e6b0 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.