Triple

T15378543
Position Surface form Disambiguated ID Type / Status
Subject Lishui E367736 entity
Predicate borders P224 FINISHED
Object Jinhua E354684 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: Jinhua | Statement: [Lishui, borders, Jinhua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinhua
Context triple: [Lishui, borders, Jinhua]
  • A. Jinhua chosen
    Jinhua is a prefecture-level city in eastern China known for its historical sites, transportation hub role, and famous local ham products.
  • B. 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.
  • C. 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.
  • D. Huzhou
    Huzhou is a prefecture-level city in eastern China known for its location on the southern shore of Lake Tai and its role as an important economic and cultural center in northern Zhejiang.
  • E. 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.
  • 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_69ff2cec4f2481908fae5209bfd48dcf completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:19 a.m.