Triple

T14733418
Position Surface form Disambiguated ID Type / Status
Subject Rabun County E346138 entity
Predicate containsSettlement P847 FINISHED
Object Tiger, Georgia
Tiger, Georgia is a small town in northeastern Georgia known for its scenic Appalachian setting and proximity to outdoor recreation in Rabun County.
E1116816 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: Tiger, Georgia | Statement: [Rabun County, containsSettlement, Tiger, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger, Georgia
Context triple: [Rabun County, containsSettlement, Tiger, Georgia]
  • A. Rover, Georgia
    Rover, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
  • B. Jakin, Georgia
    Jakin, Georgia is a small rural city in southwestern Georgia known for its agricultural surroundings and close-knit community.
  • C. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • D. Tallapoosa, Georgia
    Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
  • E. 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.
  • 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: Tiger, Georgia
Triple: [Rabun County, containsSettlement, Tiger, Georgia]
Generated description
Tiger, Georgia is a small town in northeastern Georgia known for its scenic Appalachian setting and proximity to outdoor recreation in Rabun County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiger, Georgia
Target entity description: Tiger, Georgia is a small town in northeastern Georgia known for its scenic Appalachian setting and proximity to outdoor recreation in Rabun County.
  • A. Rover, Georgia
    Rover, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
  • B. Jakin, Georgia
    Jakin, Georgia is a small rural city in southwestern Georgia known for its agricultural surroundings and close-knit community.
  • C. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • D. Tallapoosa, Georgia
    Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
  • E. 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.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8bcc188190901e3f692fd8fbf9 completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfe396bb48190ade10c757a3a7e5e completed May 8, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69fdfeb5d08081908ff0fdbc489fc985 completed May 8, 2026, 3:18 p.m.
Created at: April 10, 2026, 1:29 a.m.