Triple

T8476938
Position Surface form Disambiguated ID Type / Status
Subject Clayton, Georgia E200416 entity
Predicate isCountySeatOf P383 FINISHED
Object Rabun County E346138 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: Rabun County | Statement: [Clayton, Georgia, isCountySeatOf, Rabun County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rabun County
Context triple: [Clayton, Georgia, isCountySeatOf, Rabun County]
  • A. Rabun County chosen
    Rabun County is a mountainous county in northeastern Georgia known for its scenic landscapes, outdoor recreation, and location in the southern Appalachian region.
  • B. Garvin County
    Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
  • C. Bonner County
    Bonner County is a largely rural county in northern Idaho known for its forests, lakes, and outdoor recreation areas, including parts of Lake Pend Oreille and the Selkirk Mountains.
  • D. Baca County
    Baca County is a sparsely populated, agriculture-focused county located in the southeastern corner of the U.S. state of Colorado.
  • E. Wilkinson County
    Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51ffab881908448aff899511f2c completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb5dbfc08190827e8e886a37a8be completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:12 p.m.