Triple

T3192054
Position Surface form Disambiguated ID Type / Status
Subject Summers County E66844 entity
Predicate borderedByCounty P6346 FINISHED
Object Greenbrier County E67254 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: Greenbrier County | Statement: [Summers County, borderedByCounty, Greenbrier County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbrier County
Context triple: [Summers County, borderedByCounty, Greenbrier County]
  • A. Greenbrier County chosen
    Greenbrier County is a largely rural county in southeastern West Virginia known for its scenic Appalachian landscapes, outdoor recreation, and the historic Greenbrier resort.
  • B. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • C. Boone County
    Boone County is a rural county in southern West Virginia known historically for its coal mining communities and Appalachian landscape.
  • D. Boone County
    Boone County is a county in central Indiana known for its mix of suburban communities like Zionsville and rural agricultural areas northwest of Indianapolis.
  • E. Nicholas County
    Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba19b2881908a298e6fb99a058e completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.