Triple

T20880871
Position Surface form Disambiguated ID Type / Status
Subject Silver Bow County E514142 entity
Predicate formedFrom P402 FINISHED
Object Deer Lodge 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: Deer Lodge County | Statement: [Silver Bow County, formedFrom, Deer Lodge County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deer Lodge County
Context triple: [Silver Bow County, formedFrom, Deer Lodge County]
  • A. Deer Lodge County chosen
    Deer Lodge County is a county in southwestern Montana known for its historic mining communities and the city of Anaconda.
  • 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. Kiowa County
    Kiowa County is a sparsely populated rural county in the High Plains of southeastern Colorado, known for its agricultural economy and wide-open prairie landscapes.
  • D. Rosebud County, Montana
    Rosebud County, Montana is a largely rural county in southeastern Montana known for its ranching, coal mining, and inclusion of much of the Northern Cheyenne Indian Reservation.
  • E. 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.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67974348190bd3484032c0d7b31 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.