Triple

T20169331
Position Surface form Disambiguated ID Type / Status
Subject Red River of the North E491914 entity
Predicate formsBorderBetween P224 FINISHED
Object North Dakota NE NERFINISHED

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: North Dakota | Statement: [Red River of the North, formsBorderBetween, North Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Dakota
Context triple: [Red River of the North, formsBorderBetween, North Dakota]
  • A. North Dakota chosen
    North Dakota is a sparsely populated U.S. state known for its Great Plains landscapes, agricultural economy, and significant oil production from the Bakken formation.
  • B. South Dakota
    South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
  • C. North Dakota II
    "North Dakota II" is a track from the album "Long Hair in Three Stages" by the experimental rock band U.S. Maple.
  • D. Montana
    Montana was a former Swiss alpine resort municipality that later became part of the larger resort area of Crans-Montana in the canton of Valais.
  • E. Montana
    Montana is a small city in northwestern Bulgaria known as a regional administrative and economic center near the foothills of the Balkan Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66846f4ec81908b0dc6a6e0ec27dd completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.