Triple

T4399790
Position Surface form Disambiguated ID Type / Status
Subject Pearl River E93586 entity
Predicate knownAs P39 FINISHED
Object Zhu Jiang E442890 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: Zhu Jiang | Statement: [Pearl River, knownAs, Zhu Jiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu Jiang
Context triple: [Pearl River, knownAs, Zhu Jiang]
  • A. Zhujiang chosen
    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. 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.
  • C. Cao River
    The Cao River is a waterway flowing through Qingpu District in Shanghai, China, contributing to the region’s local drainage and landscape.
  • D. Shenzhen River
    The Shenzhen River is a boundary river in southern China that forms part of the border between Hong Kong and the city of Shenzhen.
  • E. Lei River
    The Lei River is a significant river in southern China that flows through Hunan Province and serves as an important waterway within the Xiang River system.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6374a22c88190ba36ddb180634573 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:27 p.m.