Triple

T18264843
Position Surface form Disambiguated ID Type / Status
Subject 汉江 E437456 entity
Predicate 别名 P39 FINISHED
Object 汉水 — NE NERFINISHED

How this triple was built (2 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: 汉水 | Statement: [汉江, 别名, 汉水]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 汉水
Context triple: [汉江, 别名, 汉水]
  • A. 汉江 chosen
    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。
  • B. 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。
  • C. 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。
  • D. 长江
    长江是中国最长、亚洲第一长河流，贯穿中国西部至东部并对沿岸地区的经济、文化和生态具有深远影响。
  • E. 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。
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.