Triple

T15378545
Position Surface form Disambiguated ID Type / Status
Subject Lishui E367736 entity
Predicate borders P224 FINISHED
Object Fujian Province E41238 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: Fujian Province | Statement: [Lishui, borders, Fujian Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fujian Province
Context triple: [Lishui, borders, Fujian Province]
  • A. Fujian chosen
    Fujian is a coastal province in southeastern China known for its significant role in Chinese migration, distinctive Min culture and dialects, and historic maritime trade.
  • B. Jianxi
    Jianxi was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • C. Guangdong Province
    Guangdong Province is a populous and economically vital coastal region in southern China, known for major cities like Guangzhou and Shenzhen and its role as a manufacturing and trade hub.
  • D. Zhejiang Province
    Zhejiang Province is a coastal province in eastern China known for its dynamic private-sector economy, major port cities like Ningbo, and scenic areas such as Hangzhou and the West Lake.
  • E. Inland Fujian
    Inland Fujian is the mountainous, landlocked interior region of China’s Fujian province, characterized by forested hills, river valleys, and relatively less coastal development.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1347c8448190aa1088d66bca2722 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.