Triple

T6308893
Position Surface form Disambiguated ID Type / Status
Subject Canton, Ohio E141449 entity
Predicate namedAfter P63 FINISHED
Object Canton, China E242593 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: Canton, China | Statement: [Canton, Ohio, namedAfter, Canton, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canton, China
Context triple: [Canton, Ohio, namedAfter, Canton, China]
  • A. Canton, China chosen
    Canton, China is the former English name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • B. Caizhou
    Caizhou was a historic Chinese city best known as the final capital of the Jurchen-led Jin dynasty before its fall to the Mongols.
  • C. Foshan, China
    Foshan, China is a major industrial and manufacturing city in Guangdong Province, known for its automotive production, ceramics industry, and role within the Pearl River Delta economic region.
  • D. 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.
  • E. El Pangui Canton
    El Pangui Canton is an administrative subdivision in southeastern Ecuador known for its location within the mineral-rich and biodiverse Zamora-Chinchipe Province in the Amazonian foothills.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647f13a4819095c4ce8c42c5d1fb completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.