Triple

T7946099
Position Surface form Disambiguated ID Type / Status
Subject Wuling Mountains region E184500 entity
Predicate hasRiver P165 FINISHED
Object Lishui River E714822 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: Lishui River | Statement: [Wuling Mountains region, hasRiver, Lishui River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lishui River
Context triple: [Wuling Mountains region, hasRiver, Lishui River]
  • A. Lishui River chosen
    The Lishui River is a major river in Hunan Province, China, known for flowing through the scenic karst landscapes of the Zhangjiajie region.
  • B. Xin’an River
    The Xin’an River is a major river in eastern China known for its scenic landscapes and as an important tributary contributing to the Qiantang River system.
  • C. Heishui River
    The Heishui River is a tributary waterway in southwestern China that feeds into the Min River within the upper Yangtze River basin.
  • D. Luoqing River
    The Luoqing River is a regional river in Guangxi, China, that flows through and helps shape the city of Liuzhou.
  • E. Hanshui River
    The Hanshui River is a major tributary of the Yangtze River in central China, flowing through Shaanxi and Hubei provinces and playing a key role in the region’s ecology, history, and transportation.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b29a570819091a2ac185a8d57c4 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd672cb3288190af4f951e65e8d67e completed April 1, 2026, 6:42 p.m.
Created at: March 30, 2026, 5:09 p.m.