Triple

T3352079
Position Surface form Disambiguated ID Type / Status
Subject Jianghan District E70518 entity
Predicate borderedBy P224 FINISHED
Object Dongxihu District E136088 NE FINISHED

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: Dongxihu District | Statement: [Jianghan District, borderedBy, Dongxihu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongxihu District
Context triple: [Jianghan District, borderedBy, Dongxihu District]
  • A. Furong District
    Furong District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its commercial activity and administrative importance.
  • B. Yingze District
    Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
  • C. Zhonglou District
    Zhonglou District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its commercial centers and dense residential areas.
  • D. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
  • E. Qingshan District chosen
    Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b2755c88190acc9bc70f1f3a53e completed March 14, 2026, 2:05 p.m.
Created at: March 8, 2026, 3:12 p.m.