Triple

T20103258
Position Surface form Disambiguated ID Type / Status
Subject Huizhou E496601 entity
Predicate locatedNear P294 FINISHED
Object Dongjiang River NE NERFINISHED

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: Dongjiang River | Statement: [Huizhou, locatedNear, Dongjiang River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongjiang River
Context triple: [Huizhou, locatedNear, Dongjiang River]
  • A. Zhujiang
    Zhujiang is the Chinese name for the Pearl River, a major river system in southern China that flows through Guangzhou into the South China Sea.
  • B. Dongjiang chosen
    Dongjiang, also known as the Dong River, is a major river in southern China that serves as an important water source for cities including Hong Kong and Guangzhou.
  • C. Luhan River
    The Luhan River is a waterway in eastern Ukraine that flows through the Luhansk region, including the town of Slavyanoserbsk.
  • D. Chang River
    The Chang River is a significant waterway flowing through Jingdezhen, a city in Jiangxi Province renowned for its porcelain production.
  • E. Huangpu River
    The Huangpu River is a significant waterway in eastern China that flows through the heart of Shanghai, dividing the city and serving as a vital shipping and cultural artery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6667170a4819085d07a4188ded541 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.