Triple

T2271716
Position Surface form Disambiguated ID Type / Status
Subject Crawford County, Georgia E50673 entity
Predicate hasLargestCity P235 FINISHED
Object Roberta, Georgia E43572 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: Roberta, Georgia | Statement: [Crawford County, Georgia, hasLargestCity, Roberta, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberta, Georgia
Context triple: [Crawford County, Georgia, hasLargestCity, 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. Ann Pine Decatur
    Ann Pine Decatur was the mother of U.S. naval hero Stephen Decatur and a member of the prominent Decatur family of early American history.
  • C. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • D. Valdosta, Georgia
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • E. Morgan, Georgia
    Morgan, Georgia is a small rural city that serves as the county seat of Calhoun County in the southwestern part of the U.S. state of Georgia.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1c0de488190876b644cdaa41637 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71db927c8190a76cfb873039b04b completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.