Triple

T13040252
Position Surface form Disambiguated ID Type / Status
Subject Xiaoqing River E327171 entity
Predicate nameInChinese P4878 FINISHED
Object 小清河
小清河是一条位于中国华北地区、流经山东省多座城市并最终汇入渤海的重要河流。
E1017231 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: 小清河 | Statement: [Xiaoqing River, nameInChinese, 小清河]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 小清河
Context triple: [Xiaoqing River, nameInChinese, 小清河]
  • A. 海河
    海河是中国北方重要的河流和水系之一,流经天津等地并最终注入渤海。
  • B. 汾河
    汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
  • C. 天河
    天河是中国广东省广州市的一个重要市辖区,以其现代化的城市景观和繁华的商业中心而闻名。
  • D. 洛河
    洛河是一条位于中国中部、历史文化底蕴深厚的河流,在中华古代神话与文学中具有重要地位。
  • E. 汉江
    汉江是中国长江中游最大的支流之一,流经陕西、湖北等地并在武汉与长江汇合。
  • 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: 小清河
Triple: [Xiaoqing River, nameInChinese, 小清河]
Generated description
小清河是一条位于中国华北地区、流经山东省多座城市并最终汇入渤海的重要河流。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 小清河
Target entity description: 小清河是一条位于中国华北地区、流经山东省多座城市并最终汇入渤海的重要河流。
  • A. 海河
    海河是中国北方重要的河流和水系之一,流经天津等地并最终注入渤海。
  • B. 汾河
    汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
  • C. 天河
    天河是中国广东省广州市的一个重要市辖区,以其现代化的城市景观和繁华的商业中心而闻名。
  • D. 洛河
    洛河是一条位于中国中部、历史文化底蕴深厚的河流,在中华古代神话与文学中具有重要地位。
  • E. 汉江
    汉江是中国长江中游最大的支流之一,流经陕西、湖北等地并在武汉与长江汇合。
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0d21e08190855dcbee000fc25d completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce6b220c8190b1f49a9b2bfce692 completed May 3, 2026, 4:26 a.m.
Created at: April 9, 2026, 8:55 p.m.