Triple

T301471
Position Surface form Disambiguated ID Type / Status
Subject Hanoi E6204 entity
Predicate primaryRiver P165 FINISHED
Object Red River E74138 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: Red River | Statement: [Hanoi, primaryRiver, Red River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red River
Context triple: [Hanoi, primaryRiver, Red River]
  • A. Red River chosen
    The Red River is a major river in northern Vietnam that flows through the capital Hanoi and plays a crucial role in the region’s agriculture, transportation, and history.
  • B. Red River of the South
    The Red River of the South is a major river in the south-central United States that forms much of the border between Texas and Oklahoma before flowing into the Mississippi River system.
  • C. Mandovi River
    The Mandovi River is a major west-flowing river in western India that plays a central role in Goa’s ecology, transport, and tourism.
  • D. White River
    White River is a major waterway in central Indiana that flows through Indianapolis and plays a key role in the region’s ecology and recreation.
  • E. White River
    The White River is a river in northern Ontario, Canada, that flows into Lake Superior and is known for its rugged, forested watershed and recreational fishing opportunities.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e9e6a8308190b9bd15310e324504 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b82d2d5c8190b5cd8779fcbc8e81 completed March 4, 2026, 4:42 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.