Triple

T14064374
Position Surface form Disambiguated ID Type / Status
Subject Foshan E338426 entity
Predicate hasDistrict P459 FINISHED
Object Shunde District E556447 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: Shunde District | Statement: [Foshan, hasDistrict, Shunde District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shunde District
Context triple: [Foshan, hasDistrict, Shunde District]
  • A. Shunde District chosen
    Shunde District is a prosperous urban district in Foshan, Guangdong, China, known for its manufacturing industry, Cantonese cuisine, and cultural attractions.
  • B. Xiangzhou District
    Xiangzhou District is an administrative urban district under the jurisdiction of Xiangyang City in Hubei Province, China.
  • C. Xiangzhou District
    Xiangzhou District is the central urban district of Zhuhai in Guangdong Province, China, known for its government, commercial, and coastal areas facing Macau.
  • D. Huizhou District
    Huizhou District is an administrative district of Huangshan City in Anhui Province, China, known for its historic Huizhou culture and traditional architecture.
  • E. Nanhai District
    Nanhai District is an urban district in Foshan, Guangdong Province, China, known for its historical significance and rapid economic development within the Pearl River Delta region.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.