Triple

T17664044
Position Surface form Disambiguated ID Type / Status
Subject Crawford County, Georgia E440324 entity
Predicate hasCity P316 FINISHED
Object Roberta, Georgia 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: Roberta, Georgia | Statement: [Crawford County, Georgia, hasCity, Roberta, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberta, Georgia
Context triple: [Crawford County, Georgia, hasCity, Roberta, Georgia]
  • A. Roberta, Georgia chosen
    Roberta, Georgia is a small city in Crawford County known as a rural community and local crossroads in central Georgia.
  • B. Kathleen, Georgia
    Kathleen, Georgia is an unincorporated community in central Georgia located within Houston County, known primarily as a residential area near the city of Warner Robins.
  • C. Juliette, Georgia
    Juliette, Georgia is a small unincorporated community in central Georgia best known as the filming location of the movie "Fried Green Tomatoes" and for its historic, rural Southern charm.
  • D. Ellabelle, Georgia
    Ellabelle, Georgia is a small unincorporated community located in Thomas County in the southern part of the state.
  • E. Philema, Georgia
    Philema, Georgia is a small unincorporated community located in rural Lee County in the southwestern part of the state.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea7f0ec81908eff43aa845584af completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:54 a.m.