Triple

T8202519
Position Surface form Disambiguated ID Type / Status
Subject Yin E191612 entity
Predicate locatedOnRiver P165 FINISHED
Object Huan River E109232 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: Huan River | Statement: [Yin, locatedOnRiver, Huan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huan River
Context triple: [Yin, locatedOnRiver, Huan River]
  • A. 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.
  • 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. Luo River chosen
    The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
  • D. Hunjiang River
    The Hunjiang River is a significant river in northeastern China that serves as a major tributary within the Yalu River basin.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df84b108190b4407a72a3500af9 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1aaaeb4819093185b33309052ea completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 5:43 p.m.