Triple

T4342149
Position Surface form Disambiguated ID Type / Status
Subject Chaohu Lake E97806 entity
Predicate inflow P415 FINISHED
Object Nanfei River E114884 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: Nanfei River | Statement: [Chaohu Lake, inflow, Nanfei River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanfei River
Context triple: [Chaohu Lake, inflow, Nanfei River]
  • A. Nanfei River chosen
    The Nanfei River is a key waterway flowing through the city of Hefei in Anhui Province, China, playing an important role in its urban landscape and drainage system.
  • B. Yunzhi River
    The Yunzhi River is a significant tributary waterway that feeds into the Salween River system in Southeast Asia.
  • C. Xiaoqing River
    The Xiaoqing River is a significant river in Shandong Province, China, flowing through the city of Jinan and serving as an important regional waterway.
  • D. 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.
  • E. Tongtian River
    The Tongtian River is a major upper reach of the Yangtze River in western China, flowing from the high-altitude Tibetan Plateau through remote, mountainous terrain.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351878c148190b384053479d41caf completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba2b49c81909b7bf87672d71611 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:14 p.m.