Triple

T22833864
Position Surface form Disambiguated ID Type / Status
Subject Chadron E565886 entity
Predicate isCountySeatOf P383 FINISHED
Object Dawes 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: Dawes County | Statement: [Chadron, isCountySeatOf, Dawes County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawes County
Context triple: [Chadron, isCountySeatOf, Dawes County]
  • A. Dawes County chosen
    Dawes County is a rural county in northwestern Nebraska known for its seat at Chadron and its proximity to the scenic Pine Ridge region.
  • B. Custer County
    Custer County is a largely rural county in central Nebraska known for its agricultural landscape and small communities.
  • C. Custer County
    Custer County is a rural county in south-central Colorado known for its scenic Wet Mountain Valley, ranching heritage, and outdoor recreation opportunities in the surrounding Wet Mountains and Sangre de Cristo Range.
  • 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 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2d830881908d69929b854aad66 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.