Triple

T12147288
Position Surface form Disambiguated ID Type / Status
Subject Changzhou Metro E289357 entity
Predicate serves P98 FINISHED
Object Zhonglou District E329367 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: Zhonglou District | Statement: [Changzhou Metro, serves, Zhonglou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhonglou District
Context triple: [Changzhou Metro, serves, Zhonglou District]
  • A. Zhonglou District chosen
    Zhonglou District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its commercial centers and dense residential areas.
  • 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. Wanhua District
    Wanhua District is one of Taipei’s oldest urban areas, known for its historic temples, traditional markets, and the popular shopping and entertainment area of Ximending.
  • D. Dongxihu District
    Dongxihu District is an urban district of Wuhan in Hubei Province, China, known for its mix of industrial zones, residential areas, and transportation infrastructure.
  • E. Chengzhong District
    Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b85782481908cca14d8e8345411 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:49 p.m.