Triple

T15639436
Position Surface form Disambiguated ID Type / Status
Subject Wuhan suburban districts E376028 entity
Predicate hasMember P10 FINISHED
Object Huangpi 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: Huangpi District | Statement: [Wuhan suburban districts, hasMember, Huangpi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangpi District
Context triple: [Wuhan suburban districts, hasMember, Huangpi District]
  • A. Huangpi District chosen
    Huangpi District is a suburban district in the northern part of Wuhan, China, known for its mix of rural landscapes, historical sites, and growing urban development.
  • B. Jiangxia District
    Jiangxia District is a suburban administrative district in the southeastern part of Wuhan, China, known for its rapid urban development and integration into the city’s metro network.
  • C. Jianghan District
    Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
  • D. 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.
  • E. Wuchang District
    Wuchang District is a central urban district of Wuhan, China, known for its historical significance, educational institutions, and location along the Yangtze River.
  • 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.