Triple

T10633939
Position Surface form Disambiguated ID Type / Status
Subject Coosa River E250529 entity
Predicate sourceLocation P40 FINISHED
Object Rome, Georgia E298912 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: Rome, Georgia | Statement: [Coosa River, sourceLocation, Rome, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rome, Georgia
Context triple: [Coosa River, sourceLocation, Rome, Georgia]
  • A. Rome, Georgia chosen
    Rome, Georgia is a small northwestern Georgia city known for its historic downtown, three converging rivers, and role as a regional medical and educational hub.
  • B. Columbus, Georgia
    Columbus, Georgia is a major city in western Georgia located along the Chattahoochee River, known for its military presence near Fort Moore and its revitalized riverfront and whitewater attractions.
  • C. Hamilton, Georgia
    Hamilton, Georgia is a small city in west-central Georgia that serves as the governmental and commercial hub of Harris County.
  • D. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • E. Newton, Georgia
    Newton, Georgia is a small city in southwestern Georgia that serves as the administrative and governmental center of Baker County.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfab47bc819086684edc1b6dce74 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:02 p.m.