Triple

T17738790
Position Surface form Disambiguated ID Type / Status
Subject Guigang E442794 entity
Predicate waterwayTransport P14751 FINISHED
Object Xun 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: Xun River | Statement: [Guigang, waterwayTransport, Xun River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xun River
Context triple: [Guigang, waterwayTransport, Xun River]
  • A. Luo River
    The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
  • B. Jialing River
    The Jialing River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing heavily to the region’s water resources, transportation, and ecology.
  • C. Zuo River chosen
    The Zuo River is a major river in southern China that flows through Guangxi and forms part of the upper Pearl River system near the border with Vietnam.
  • D. Wu River
    The Wu River is a significant river in southwestern China known for flowing through deep gorges and contributing substantially to the Yangtze River system.
  • E. 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.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acb05848190a4b7edb98f15b8c6 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.