Triple

T9161507
Position Surface form Disambiguated ID Type / Status
Subject Jiangmen E219834 entity
Predicate borders P224 FINISHED
Object Zhaoqing E448964 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: Zhaoqing | Statement: [Jiangmen, borders, Zhaoqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhaoqing
Context triple: [Jiangmen, borders, Zhaoqing]
  • A. Zhaoqing chosen
    Zhaoqing is a historic city in Guangdong Province, China, known for its scenic karst landscapes, lakes, and cultural heritage.
  • B. Huizhou
    Huizhou is a historic cultural and commercial region in southeastern China, famed for its distinctive Huizhou architecture, merchant culture, and influential role in the development of Huizhou (Xin'an) Neo-Confucianism.
  • C. Heyuan
    Heyuan is a prefecture-level city in northeastern Guangdong Province, China, known for its Hakka culture, abundant natural scenery, and large reservoir and river systems.
  • D. Foshan
    Foshan is a major industrial and cultural city in southern China known for its manufacturing, Cantonese opera, and martial arts heritage.
  • E. Zhongshan
    Zhongshan is a prefecture-level city in Guangdong Province, southern China, known for its manufacturing industry and as the birthplace of revolutionary leader Sun Yat-sen.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2997e60b081908c4982db477de5a1 completed April 5, 2026, 5:18 p.m.
Created at: March 30, 2026, 7:21 p.m.