Triple

T20169361
Position Surface form Disambiguated ID Type / Status
Subject Red River of the North E491914 entity
Predicate hasFloodplain P14914 FINISHED
Object Red River Valley — 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: Red River Valley | Statement: [Red River of the North, hasFloodplain, Red River Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red River Valley
Context triple: [Red River of the North, hasFloodplain, Red River Valley]
  • A. Red River Valley chosen
    Red River Valley is a fertile agricultural region and historic cultural area along the Red River, known for its farming communities and role in the development of the south-central United States.
  • B. Oh Shenandoah
    "Oh Shenandoah" is a traditional American folk song of uncertain origin, widely known for its haunting melody and lyrics evoking longing and the American frontier.
  • C. Greasy Creek
    Greasy Creek is a smaller stream in the United States that serves as a tributary feeding into Sallisaw Creek.
  • D. Great Snowy Mountains
    Great Snowy Mountains is the English meaning of the name for Japan’s Daisetsuzan Volcanic Group, a vast, high-altitude volcanic and alpine region in Hokkaido.
  • E. Dixie
    Dixie is a well-known American consumer brand specializing in disposable tableware products such as paper plates, cups, and napkins.
  • 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.