Triple

T3618541
Position Surface form Disambiguated ID Type / Status
Subject Changde E76664 entity
Predicate locatedOnRiver P165 FINISHED
Object Yuan River E205359 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: Yuan River | Statement: [Changde, locatedOnRiver, Yuan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuan River
Context triple: [Changde, locatedOnRiver, Yuan River]
  • A. Yuan River chosen
    The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
  • B. Chu River
    The Chu River is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • C. Lei River
    The Lei River is a significant river in southern China that flows through Hunan Province and serves as an important waterway within the Xiang River system.
  • D. Cao River
    The Cao River is a waterway flowing through Qingpu District in Shanghai, China, contributing to the region’s local drainage and landscape.
  • E. Lian River
    The Lian River is a significant river in southern China that serves as a major tributary within the Xiang River system, contributing to the hydrology of the broader Yangtze 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b72b3481909f4a09000d1815d9 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f0ac4208190b38214ecb8c043e8 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.