Triple

T1742019
Position Surface form Disambiguated ID Type / Status
Subject Georgia Gold Belt E38253 entity
Predicate containsCity P294 FINISHED
Object Kennesaw E168502 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: Kennesaw | Statement: [Georgia Gold Belt, containsCity, Kennesaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennesaw
Context triple: [Georgia Gold Belt, containsCity, Kennesaw]
  • A. Kennesaw, Georgia chosen
    Kennesaw, Georgia is a suburban city in Cobb County northwest of Atlanta, known for its Civil War history, including the nearby Kennesaw Mountain National Battlefield Park.
  • B. 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.
  • C. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • D. Ellijay
    Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
  • E. 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.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c6d21c8190809bedaa798e2b14 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae303ee60c819093a70e0e6a431c01 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:30 p.m.