Triple

T22399201
Position Surface form Disambiguated ID Type / Status
Subject Richwood, Georgia E553713 entity
Predicate hasSubdivisionName P12497 FINISHED
Object Dooly 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: Dooly County | Statement: [Richwood, Georgia, hasSubdivisionName, Dooly County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dooly County
Context triple: [Richwood, Georgia, hasSubdivisionName, Dooly County]
  • A. Dooly County chosen
    Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
  • B. Jerauld County
    Jerauld County is a rural county in central South Dakota known for its agricultural landscape and small communities such as its county seat, Wessington Springs.
  • C. 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.
  • D. LaRue County
    LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
  • 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 (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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b28e58819090624f131ce63a9f completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.