Triple

T17220728
Position Surface form Disambiguated ID Type / Status
Subject Jinwan District E417971 entity
Predicate borderedBy P224 FINISHED
Object Xiangzhou 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: Xiangzhou District | Statement: [Jinwan District, borderedBy, Xiangzhou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiangzhou District
Context triple: [Jinwan District, borderedBy, Xiangzhou District]
  • A. Xiangzhou District chosen
    Xiangzhou District is the central urban district of Zhuhai in Guangdong Province, China, known for its government, commercial, and coastal areas facing Macau.
  • B. Xiangzhou District
    Xiangzhou District is an administrative urban district under the jurisdiction of Xiangyang City in Hubei Province, China.
  • C. Gaoming District
    Gaoming District is an administrative district of the city of Foshan in Guangdong Province, China, known for its mix of urban development and manufacturing-based economy.
  • D. Jianghai District
    Jianghai District is an urban administrative district within the city of Jiangmen in Guangdong Province, China, known for its role in the region’s industrial and economic development.
  • E. Huizhou District
    Huizhou District is an administrative district of Huangshan City in Anhui Province, China, known for its historic Huizhou culture and traditional architecture.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddd52d4819098b51d55e063c8ab completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.