Triple

T18238513
Position Surface form Disambiguated ID Type / Status
Subject 晴川阁 E436744 entity
Predicate 地理位置 P3227 FINISHED
Object 中国湖北省武汉市汉阳区 — 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: 中国湖北省武汉市汉阳区 | Statement: [晴川阁, 地理位置, 中国湖北省武汉市汉阳区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 中国湖北省武汉市汉阳区
Context triple: [晴川阁, 地理位置, 中国湖北省武汉市汉阳区]
  • A. 汉阳 chosen
    汉阳是中国湖北省武汉市的一个历史悠久的城区，位于长江与汉江交汇处，以其工业基础和文化遗产而闻名。
  • B. 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。
  • C. Hongshan District, Wuhan
    Hongshan District is a major urban district in southeastern Wuhan, China, known for its concentration of universities, research institutions, and technology-oriented development.
  • D. 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。
  • E. Qingshan District, Wuhan
    Qingshan District, Wuhan is an urban district on the Yangtze River in Wuhan, Hubei Province, known for its heavy industry and educational institutions.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e0a0ac819090d48ae45b1ebfc9 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.