Triple

T13154932
Position Surface form Disambiguated ID Type / Status
Subject Ou River E312558 entity
Predicate hasEconomicImportanceFor P14281 FINISHED
Object Wenzhou E197338 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: Wenzhou | Statement: [Ou River, hasEconomicImportanceFor, Wenzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenzhou
Context triple: [Ou River, hasEconomicImportanceFor, Wenzhou]
  • A. Wenzhou chosen
    Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
  • B. Jinhua
    Jinhua is a prefecture-level city in eastern China known for its historical sites, transportation hub role, and famous local ham products.
  • C. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • D. Taizhou
    Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
  • E. Jiaxing
    Jiaxing is a historic city in eastern China's Zhejiang province, best known as one of the birthplaces of the Chinese Communist Party and an important regional economic and cultural center.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b98a7c48190a2ca0ec7b9bd8d19 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 9:12 p.m.