Triple

T23091910
Position Surface form Disambiguated ID Type / Status
Subject Zhongnan Road Station E575775 entity
Predicate locatedIn P40 FINISHED
Object Wuchang 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: Wuchang District | Statement: [Zhongnan Road Station, locatedIn, Wuchang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuchang District
Context triple: [Zhongnan Road Station, locatedIn, Wuchang District]
  • A. Wuchang District chosen
    Wuchang District is a central urban district of Wuhan, China, known for its historical significance, educational institutions, and location along the Yangtze River.
  • 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. Huangpi District
    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.
  • E. 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.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18daa68d48190842e9cb6de31ea79 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.