Triple

T217502
Position Surface form Disambiguated ID Type / Status
Subject Vietnam E4138 entity
Predicate hasMajorRiver P165 FINISHED
Object Mekong River E16852 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: Mekong River | Statement: [Vietnam, hasMajorRiver, Mekong River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mekong River
Context triple: [Vietnam, hasMajorRiver, Mekong River]
  • A. Mekong River chosen
    The Mekong River is one of Asia’s longest and most important rivers, flowing from the Tibetan Plateau through several Southeast Asian countries before emptying into the South China Sea.
  • B. Yangtze River
    The Yangtze River is the longest river in Asia and a crucial waterway in China, supporting major cities, transportation, agriculture, and hydroelectric power.
  • C. Brahmaputra
    The Brahmaputra is a major transboundary river in South Asia that flows through Tibet, India, and Bangladesh, playing a crucial role in the region’s ecology, agriculture, and culture.
  • D. Yellow River
    The Yellow River is the second-longest river in China, historically known as the cradle of Chinese civilization and notorious for its devastating floods and heavy silt load.
  • E. Maipo River
    The Maipo River is one of central Chile’s most important rivers, flowing from the Andes through the Santiago metropolitan area and supporting agriculture, industry, and water supply in the region.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5062e48190833be10e4770e1e9 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36477882481909509048bfc98657f completed Feb. 28, 2026, 9:56 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.