Triple

T20097616
Position Surface form Disambiguated ID Type / Status
Subject Ying River E496444 entity
Predicate tributaryOf P415 FINISHED
Object Huai 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: Huai River | Statement: [Ying River, tributaryOf, Huai River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huai River
Context triple: [Ying River, tributaryOf, Huai River]
  • A. Huai River chosen
    The Huai River is a major river in eastern China that historically served as a key geographical and cultural boundary between northern and southern China.
  • B. Chaobai River
    The Chaobai River is a major river in northern China that flows through Hebei Province and Beijing, contributing significantly to the Hai River basin and regional water resources.
  • C. Fuxi River
    The Fuxi River is a regional river in Sichuan Province, China, that flows through the city of Zigong and supports its local ecology and economy.
  • D. Taizi River
    The Taizi River is a major river in northeastern China that flows through Liaoning Province, including the city of Benxi, and serves as an important regional waterway.
  • E. Xun River
    The Xun River is a major river in the Guangxi region of southern China that serves as an important tributary of the Xi River system.
  • 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_69e6666d83448190b3ade3f5b855e820 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.