Triple

T11622995
Position Surface form Disambiguated ID Type / Status
Subject Hall County E276186 entity
Predicate borders P224 FINISHED
Object Dawson County E230317 NE FINISHED

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: Dawson County | Statement: [Hall County, borders, Dawson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawson County
Context triple: [Hall County, borders, Dawson County]
  • A. Dawson County chosen
    Dawson County is a county in north-central Georgia, United States, known for its location in the Appalachian foothills and proximity to outdoor recreation areas such as Amicalola Falls State Park.
  • B. Dawson County
    Dawson County is a rural county in the western part of Texas known for its agriculture and oil production.
  • 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 (3 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8762586481909a4b563c827487e0 completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.