Triple

T3354609
Position Surface form Disambiguated ID Type / Status
Subject Grady County, Georgia E70575 entity
Predicate hasTown P847 FINISHED
Object Whigham, Georgia
Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
 E370218 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: Whigham, Georgia | Statement: [Grady County, Georgia, hasTown, Whigham, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whigham, Georgia
Context triple: [Grady County, Georgia, hasTown, Whigham, Georgia]
  • A. Williamson, Georgia
    Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
  • B. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • C. Woolsey, Georgia
    Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
  • D. Vaughn, Georgia
    Vaughn, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
  • E. Wadley, Georgia
    Wadley, Georgia is a small city in east-central Georgia known historically as a railroad and agricultural community within the Augusta metropolitan area.
  • 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: Whigham, Georgia
Triple: [Grady County, Georgia, hasTown, Whigham, Georgia]
Generated description
Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whigham, Georgia
Target entity description: Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
  • A. Williamson, Georgia
    Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
  • B. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • C. Woolsey, Georgia
    Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
  • D. Vaughn, Georgia
    Vaughn, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
  • E. Wadley, Georgia
    Wadley, Georgia is a small city in east-central Georgia known historically as a railroad and agricultural community within the Augusta metropolitan area.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb24036848190bac779d17dfdce3b completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb6f45ec8190835a8a68ffa99efc completed March 13, 2026, 7:23 a.m.
NEDg Description generation batch_69b3bc03f0f08190bf1b89d779a15746 completed March 13, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69b3f92268c08190a17f1c90ef2277b2 completed March 13, 2026, 11:46 a.m.
Created at: March 8, 2026, 3:13 p.m.