Triple

T3649530
Position Surface form Disambiguated ID Type / Status
Subject Cherokee County, Georgia E77384 entity
Predicate hasCity P316 FINISHED
Object Waleska, Georgia
Waleska, Georgia is a small city in northwestern Georgia best known as the home of Reinhardt University and its rural, historic character.
E376485 NE FINISHED

How this triple was built (4 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: Waleska, Georgia | Statement: [Cherokee County, Georgia, hasCity, Waleska, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waleska, Georgia
Context triple: [Cherokee County, Georgia, hasCity, Waleska, Georgia]
  • A. 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.
  • B. Savannah
    Savannah is a residential district and one of the main suburban communities on Grand Cayman in the Cayman Islands.
  • C. Savannah
    Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
  • D. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • E. New Georgia
    New Georgia is the largest and most prominent island in the New Georgia Islands group of the Solomon Islands in the South Pacific.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waleska, Georgia
Triple: [Cherokee County, Georgia, hasCity, Waleska, Georgia]
Generated description
Waleska, Georgia is a small city in northwestern Georgia best known as the home of Reinhardt University and its rural, historic character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waleska, Georgia
Target entity description: Waleska, Georgia is a small city in northwestern Georgia best known as the home of Reinhardt University and its rural, historic character.
  • A. 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.
  • B. Savannah
    Savannah is a residential district and one of the main suburban communities on Grand Cayman in the Cayman Islands.
  • C. Savannah
    Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
  • D. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • E. New Georgia
    New Georgia is the largest and most prominent island in the New Georgia Islands group of the Solomon Islands in the South Pacific.
  • F. None of above. chosen

Provenance (5 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4531590408190b6048b6b0335eb0a completed March 13, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69b466719c788190a70d8338b45c28ab completed March 13, 2026, 7:33 p.m.
Created at: March 8, 2026, 3:24 p.m.