Triple

T7806931
Position Surface form Disambiguated ID Type / Status
Subject Harbin E180578 entity
Predicate hasDistrict P459 FINISHED
Object Xiangfang District E524753 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: Xiangfang District | Statement: [Harbin, hasDistrict, Xiangfang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiangfang District
Context triple: [Harbin, hasDistrict, Xiangfang District]
  • A. Xiangfang District chosen
    Xiangfang District is an urban district of Harbin in Heilongjiang Province, China, known for its industrial base and role in the city's economic development.
  • B. Fangzi District
    Fangzi District is an urban administrative district within the prefecture-level city of Weifang in Shandong Province, eastern China.
  • C. Xiangcheng District
    Xiangcheng District is an urban district of Suzhou in Jiangsu Province, China, known for its mix of traditional waterways and rapidly developing industrial and residential areas.
  • D. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • E. Zhengxiang District
    Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf639fba88190a7c117aab19c0b0f completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55dd69bc819089d280e181d43bab completed March 31, 2026, 11:16 p.m.
Created at: March 30, 2026, 4:35 p.m.