Triple

T12385888
Position Surface form Disambiguated ID Type / Status
Subject Vierzon E295861 entity
Predicate twinnedWith P1072 FINISHED
Object Dongxihu District E613211 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: [Vierzon, twinnedWith, Dongxihu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongxihu District
Context triple: [Vierzon, twinnedWith, Dongxihu District]
  • A. Dongxihu District chosen
    Dongxihu District is an urban district of Wuhan in Hubei Province, China, known for its mix of industrial zones, residential areas, and transportation infrastructure.
  • B. Longzihu District
    Longzihu District is an urban district of the city of Bengbu in Anhui Province, China, known for its lakeside areas and role as a local administrative and commercial center.
  • C. 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.
  • D. 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.
  • E. Wangcheng District
    Wangcheng District is an administrative district of Changsha in Hunan Province, China, known for its mix of urban development and surrounding rural areas along the Xiang 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a533a2788190b885c000c29f4e87 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:54 p.m.