Triple

T11736662
Position Surface form Disambiguated ID Type / Status
Subject Yibin E279044 entity
Predicate locatedOnRiver P165 FINISHED
Object Jinsha River E688166 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: Jinsha River | Statement: [Yibin, locatedOnRiver, Jinsha River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinsha River
Context triple: [Yibin, locatedOnRiver, Jinsha River]
  • A. Jinsha River chosen
    The Jinsha River is the upper course of China’s Yangtze River, flowing through deep gorges in western China and serving as a major source of hydropower and water resources.
  • B. Xié River
    The Xié River is a waterway in the northwest Amazon region of Brazil, known for being home to Indigenous communities such as the Warekena people.
  • C. Yunzhi River
    The Yunzhi River is a significant tributary waterway that feeds into the Salween River system in Southeast Asia.
  • D. Xijiang River
    The Xijiang River is a major river in southern China and the western tributary of the Pearl River system, playing a key role in regional transportation, ecology, and economic development.
  • E. Xushui River
    The Xushui River is a regional river associated with the city of Chenzhou in southern China, contributing to its local water system and landscape.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0901a6ed481909054ddd581935ac4 completed April 28, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:41 p.m.