Triple

T20728093
Position Surface form Disambiguated ID Type / Status
Subject Rainbow Falls E509491 entity
Predicate county P75 FINISHED
Object Cascade County 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: Cascade County | Statement: [Rainbow Falls, county, Cascade County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cascade County
Context triple: [Rainbow Falls, county, Cascade County]
  • A. Cascade County chosen
    Cascade County is a county in central Montana best known for encompassing the city of Great Falls, a regional hub for industry, agriculture, and military activity.
  • B. Slope County
    Slope County is a sparsely populated county in southwestern North Dakota known for containing White Butte, the state’s highest natural point.
  • C. Custer County
    Custer County is a county in southwestern South Dakota known for its Black Hills scenery, outdoor recreation, and attractions such as Custer State Park and the Crazy Horse Memorial.
  • D. Custer County
    Custer County is a county in western Oklahoma known for its agricultural economy, small rural communities, and role in the state's early settlement and development.
  • E. Custer County
    Custer County is a largely rural county in central Nebraska known for its agricultural landscape and small communities.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e9ed708190ad8e371646630fea completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.