Triple

T7946097
Position Surface form Disambiguated ID Type / Status
Subject Wuling Mountains region E184500 entity
Predicate hasRiver 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: [Wuling Mountains region, hasRiver, Yuan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuan River
Context triple: [Wuling Mountains region, hasRiver, 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. Wen River
    The Wen River is a river in Shandong Province, China, that flows through the city of Tai'an and contributes to the region’s agriculture and water resources.
  • C. 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.
  • D. Danshui River
    Danshui River is a major river in northern Taiwan that flows through Taipei and empties into the Taiwan Strait, known for its scenic waterfronts and historical significance.
  • E. Ruo River
    The Ruo River is a significant river in southeastern Africa that flows along part of the Malawi–Mozambique border before joining the Shire River.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b29a570819091a2ac185a8d57c4 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6c91c0d48190ace4394724efd8e0 completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:09 p.m.