Triple

T6656381
Position Surface form Disambiguated ID Type / Status
Subject Omaha, Georgia E150955 entity
Predicate hasName P744 FINISHED
Object Omaha, Georgia E150955 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: Omaha, Georgia | Statement: [Omaha, Georgia, hasName, Omaha, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omaha, Georgia
Context triple: [Omaha, Georgia, hasName, Omaha, Georgia]
  • A. Omaha, Georgia chosen
    Omaha, Georgia is an unincorporated rural community located in Stewart County in the southwestern part of the U.S. state of Georgia.
  • 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. Marietta, Georgia
    Marietta, Georgia is a historic city in the Atlanta metropolitan area known for its Civil War heritage, vibrant downtown square, and role as a regional economic and cultural center.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.