Triple

T15639440
Position Surface form Disambiguated ID Type / Status
Subject Wuhan suburban districts E376028 entity
Predicate hasMember P10 FINISHED
Object Dongxihu District 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: Dongxihu District | Statement: [Wuhan suburban districts, hasMember, Dongxihu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongxihu District
Context triple: [Wuhan suburban districts, hasMember, 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. Honghuagang District
    Honghuagang District is an urban administrative district that serves as the central area of Zunyi City in Guizhou Province, China.
  • D. 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.
  • E. 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.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed06b388190bfebb77fe70e7df1 completed April 16, 2026, 2:52 a.m.
Created at: April 10, 2026, 4:14 a.m.