Triple

T9414403
Position Surface form Disambiguated ID Type / Status
Subject Kaifu District E226978 entity
Predicate locatedOnRiver P165 FINISHED
Object Xiang River E555557 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: Xiang River | Statement: [Kaifu District, locatedOnRiver, Xiang River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiang River
Context triple: [Kaifu District, locatedOnRiver, Xiang River]
  • A. Xiang River chosen
    The Xiang River is a major waterway in southern China that flows through Hunan province and has historically been an important route for transport, culture, and military campaigns.
  • B. Xiangxi River
    The Xiangxi River is a tributary waterway in China that feeds into the Jialing River within the upper Yangtze River basin.
  • C. Luo River
    The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
  • 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. Hunjiang River
    The Hunjiang River is a significant river in northeastern China that serves as a major tributary within the Yalu River basin.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d316faaed48190aa51e52b5b774cd8 completed April 6, 2026, 2:14 a.m.
Created at: March 30, 2026, 7:47 p.m.