Triple

T1843832
Position Surface form Disambiguated ID Type / Status
Subject Fujian E41238 entity
Predicate largestCity P235 FINISHED
Object Fuzhou E129358 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: Fuzhou | Statement: [Fujian, largestCity, Fuzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuzhou
Context triple: [Fujian, largestCity, Fuzhou]
  • A. Fuzhou chosen
    Fuzhou is the capital and largest city of China’s Fujian Province, known as a major coastal and river port with a long history of maritime trade and cultural exchange.
  • B. Xiamen
    Xiamen is a major coastal city in southeastern China known for its port, tourism, and historic role as one of the country’s earliest Special Economic Zones.
  • C. Quanzhou
    Quanzhou is a historic coastal city in southeastern China that flourished as one of the world’s busiest maritime trade hubs, especially during the Song and Yuan dynasties.
  • D. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • E. Wenzhou
    Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb04eb0748190b226f932e544925f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c482908190b940497fc5d5db60 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.