Triple

T4825702
Position Surface form Disambiguated ID Type / Status
Subject Suzhou E107819 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Wuzhong District E475724 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: Wuzhong District | Statement: [Suzhou, hasAdministrativeDivision, Wuzhong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuzhong District
Context triple: [Suzhou, hasAdministrativeDivision, Wuzhong District]
  • A. Wuzhong District chosen
    Wuzhong District is an urban district of Suzhou in Jiangsu Province, China, known for its historic canals, classical gardens, and rapidly developing economy.
  • B. Yongnian District
    Yongnian District is an administrative district under the jurisdiction of Handan City in Hebei Province, China, known for its historical and cultural significance.
  • C. Xian'an District
    Xian'an District is an urban administrative district in Hubei Province, China, serving as the central district and governmental seat of the prefecture-level city of Xianning.
  • D. Wuling District
    Wuling District is the central urban district and administrative hub of Changde City in Hunan Province, China.
  • E. Sanzhi District
    Sanzhi District is a rural coastal district in northern Taiwan known for its scenic landscapes, hot springs, and agricultural produce within New Taipei City.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfeceaa8b08190943f7b4291c8bf28 completed March 22, 2026, 1:21 p.m.
Created at: March 20, 2026, 1:24 p.m.