Triple

T19900283
Position Surface form Disambiguated ID Type / Status
Subject Jing River E478265 entity
Predicate hasChineseName P4878 FINISHED
Object 泾河 — NE NERFINISHED

How this triple was built (3 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: 泾河 | Statement: [Jing River, hasChineseName, 泾河]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 泾河
Context triple: [Jing River, hasChineseName, 泾河]
  • A. 褒河
    褒河是一条位于中国陕西省南部的河流，流经汉中地区并以其历史文化遗迹和沿岸自然风光而闻名。
  • B. 延河
    延河是中国黄土高原上一条重要支流河流，流经陕西省延安地区并最终汇入黄河。
  • C. 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。
  • D. 伊河
    伊河是一条位于中国河南省中西部的河流，流经洛阳等地并最终汇入洛河，对当地农业灌溉和区域水系具有重要作用。
  • E. 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。
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 泾河
Target entity description: 泾河是中国黄河的重要支流之一，流经甘肃、宁夏和陕西等地，以其在关中平原灌溉和区域生态中的作用而著称。
  • A. 褒河
    褒河是一条位于中国陕西省南部的河流，流经汉中地区并以其历史文化遗迹和沿岸自然风光而闻名。
  • B. 延河
    延河是中国黄土高原上一条重要支流河流，流经陕西省延安地区并最终汇入黄河。
  • C. 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。
  • D. 伊河
    伊河是一条位于中国河南省中西部的河流，流经洛阳等地并最终汇入洛河，对当地农业灌溉和区域水系具有重要作用。
  • E. 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。
  • F. None of above. chosen

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.